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Retrieval Augmented Generation with Hugging Face Models in LangChain 1 Year Ago by usmanmalik57 …SentenceTransformer from transformers import BitsAndBytesConfig import torch ``` ## Importing a Hugging Face LLM in langChain A RAG application requires two models: a… next step is to generate embeddings using Hugging Face embedding models in LangChain. ## Generating Hugging Face Model Embeddings in LangChain To generate embeddings… RAG with LangChain and Hugging Face Serverless Inference API 8 Months Ago by usmanmalik57 … import userdata hf_token = userdata.get('HF_API_TOKEN') ``` ## Basic Example of Calling Hugging Face Inference API in LangChain Let's first see a basic… generate vector embeddings. You can retrieve this model free from Hugging Face serverless inference API using the `HuggingFaceInferenceAPIEmbeddings` object. The following script… Multilabel Text Classification using Hugging Face Models for TensorFlow 2 Years Ago by usmanmalik57 …perform multiple-label text classification using the [Hugging Face](https://huggingface.co/) transformers library. Hugging Face library implements advanced transformer architectures, proven … to convert raw text into the Hugging Face complaint format. The script below installs the Hugging Face library. ! pip install datasets transformers… Text and Image to Video Generation using Diffusion Models in Hugging Face 9 Months Ago by usmanmalik57 …the libraries you will need to import these models from Hugging Face. ``` !pip install --upgrade transformers accelerate diffusers imageio-…generation. The script below imports the corresponding pipeline from the Hugging Face library. ```python image_video_pipe = StableVideoDiffusionPipeline.from_pretrained( "stabilityai… Video Classification using Hugging Face Transformers in PyTorch 1 Year Ago by usmanmalik57 … you will learn to fine-tune a [Hugging Face Transformers model](https://huggingface.co/docs/transformers/index…of performing video classification using the Hugging Face Trainer with one of Hugging Face's built-in datasets. However… want, you can try other video transformers from Hugging Face. The process remains the same. ``` image_processor =… Text Classification and Summarization with Qwen 2.5 Model From Hugging Face 9 Months Ago by usmanmalik57 … Using Qwen 2.5 Instruct Model in Hugging Face Before moving to text classification and summarization …model. ### Importing the Model and Tokenizer from Hugging Face The first step is to import the model… weights and tokenizer from the Hugging Face library, as the following script demonstrates. ```Python model_name… Text to Speech Conversion Using Hugging Face Transformers 1 Year Ago by usmanmalik57 …explore how to convert text-to-speech using Hugging Face's [MeloTTS transformer](https://huggingface.co/myshell… different languages. All languages are listed on [Hugging Face MeloTTS model card](https://huggingface.co/myshell-ai…the basics of text-to-speech conversion using Hugging Face's MeloTTS transformer. We covered installing required libraries… Tabular Data Classification with Hugging Face Meta Tree Transformer 1 Year Ago by usmanmalik57 As a data scientist, I have extensively used the Hugging Face library for processing unstructured data such as images, text, and … for these types of data. Lately, however, I discovered that Hugging Face also provides transformer models for tabular data. One such transformer… Extract Tabular Data from PDF Images using Hugging Face Table Transformer 1 Year Ago by usmanmalik57 ….co/docs/transformers/main/en/model_doc/table-transformer) from the [Hugging Face](https://huggingface.co/) library. You will see how to detect… Re: Multilabel Text Classification using Hugging Face Models for TensorFlow 2 Years Ago by Iuliia Hello! Thanks for example! Please, tell, why do you use BinaryCrossentropy while there is 6-classes classification? Doesn't one should you CategoricalCrossentropy? Re: Multilabel Text Classification using Hugging Face Models for TensorFlow 1 Year Ago by Aravind_11 Thank you very much for this informative example! I have a question regarding the line "bert = TFAutoModel.from_pretrained(model_name, from_pt = True)". Since we are using Tensorflow here, shouldn't we leave out "from_pt = True" ? Re: Extract Tabular Data from PDF Images using Hugging Face Table Transformer 1 Year Ago by Harini sri Hi, Thank you so much for the above code. Its giving better results compared to other libraries. I have few questions. In some tables, I have common column name for three columns and further I have sub columns like below.... in these cases the tables are not getting extracted properly...Do you have any suggestions for handling such cases? Also … Re: Extract Tabular Data from PDF Images using Hugging Face Table Transformer 7 Months Ago by mansha99 Awesome Fine-Tuning OpenAI Whisper Model for Audio Classification in PyTorch 1 Year Ago by usmanmalik57 … numeric arrays that you can pass to Hugging Face transformer models. You can create a Hugging Face dataset using the `datasets.Dataset.from_dict()` method… below script, we can transform our `train_audio_dataset`, `test_audio_dataset`, and `val_audio_dataset` Hugging Face datasets into PyTorch datasets. To process the datasets in batches… Image Analysis Using Llama 3.2 Vision Instruct Model 8 Months Ago by usmanmalik57 ….png) To analyze an image using the Hugging Face Inference, you must first create an object of…the `huggingface_hub` module. You must pass your [Hugging Face access token](https://huggingface.co/docs/hub/en/security… in the following script) and pass it the Hugging Face model ID, the model temperature, and the list… Image Generation with State of the Art Flux Diffusion Models 9 Months Ago by usmanmalik57 …you need to download the `diffusers` module from Hugging Face. The script below downloads these two modules. ``` …notebook_login() # you need to log into your hugging face account using access token ``` ## Text to Image… for image modification. The following script creates a Hugging Face pipeline for the `Flux.1-schnell` model. … Fine Tuning Vision Transformer for Image Classification in PyTorch 1 Year Ago by usmanmalik57 …tasks like image recognition and object detection. Hugging Face, a hub for cutting-edge machine learning… easily downloaded and implemented. However, while Hugging Face documentation provides insight into obtaining image representations … Libraries ## You will need to install the Hugging Face Transformers library to run scripts in this article.… Generate Stunning AI Images for Free Using Diffusion Models 1 Year Ago by usmanmalik57 … using state-of-the-art diffusion models from [Hugging Face](https://huggingface.co/). You'll learn about base… use any other [text-to-image diffusions from Hugging Face](https://huggingface.co/models?pipeline_tag=text-to-image). …The following Python script initializes a Hugging Face pipeline for the diffusion model and sets it … Qwen vs Llama - Who is winning the Open Source LLM Race 8 Months Ago by usmanmalik57 …and Importing Required Libraries We will call the [Hugging Face inference API](https://huggingface.co/docs/api-inference…Using Hugging Face Inference API To access models via the Hugging Face inference API, you will need your [Hugging Face … the `huggingface_hub` library. You must pass the Hugging Face model path and the access token to the … Qwen 2.5-72b Vs. Llama 3.3-70b for Text Classification and Summarization 6 Months Ago by usmanmalik57 …to install some libraries to call the [Hugging Face inference API](https://huggingface.co/docs/api-…Using Hugging Face Inference API To access models using the Hugging Face inference API, you will need your [Hugging Face User… class from the `huggingface_hub` library. Pass the Hugging Face model path and your access token to the `InferenceClient… Fine Tuning Google Gemma Model for Text Classification in Python 1 Year Ago by usmanmalik57 …, you must run the following script and enter your [Hugging Face user access token](https://huggingface.co/docs/hub/en/security… to its terms of use before importing it from Hugging Face. You can agree to its terms of use on…) The script below converts our Pandas dataframe to a Hugging Face dataset. The script divides the dataset into 80% training… Facial Emotion Detection with Vision Transformers and DeepFace Library 1 Year Ago by usmanmalik57 … DeepFace. We will fine-tune the [Hugging Face](https://huggingface.co/docs/transformers/index) version…perform [image classification with vision transformers in Hugging Face](https://www.daniweb.com/programming/computer-science…-class classification of images. You can install the hugging-face library using the following script. ``` ! pip … Benchmarking DeepSeek R1 for Text Classification and Summarization 5 Months Ago by usmanmalik57 ….co/deepseek-ai/DeepSeek-R1-Distill-Qwen-32B) from the [Hugging Face Inference API](https://huggingface.co/docs/api-inference/en/index… ``` ## Calling DeepSeek R1 Model Using Hugging Face Inference API Calling the DeepSeek R1 model via the Hugging Face Inference API is similar to calling… Custom Loss Functions in PyTorch: A Comprehensive Guide 1 Year Ago by usmanmalik57 …, X_test, y_train, y_test X_train, X_test, y_train, y_test = get_train_test_split(data) ``` ### Creating Hugging Face Dataset, Model, and Custom Loss Function ### The next step is… to create a hugging face dataset for training and test sets. We will also create… Summarizing YouTube Video Transcriptions Using Distil Whisper and LLM 1 Year Ago by usmanmalik57 … will use the Distil Whisper Large V3 model from the [Hugging Face](https://huggingface.co/) library. The following script downloads the model… import the Mistral-7B model and its tokenizer from the Hugging Face library. ``` model_id = "mistralai/Mistral-7B-Instruct-v0.1"… DeepSeek R1 vs Llama 3.1-405b for Text Classification and Summarization 3 Months Ago by usmanmalik57 …. My other option was to access the model via the Hugging Face API, but I could not run that either since it… Re: Fine-Tuning OpenAI Whisper Model for Audio Classification in PyTorch 1 Year Ago by habi_2 how to use the best_model.pt Re: Fine-Tuning OpenAI Whisper Model for Audio Classification in PyTorch 9 Months Ago by Duane_4 This is an interesting and useful post. I believe there is a typo in the 7th code block relating to train/val/test split. The second line should read: val_df, test_df = train_test_split(temp_df, test_size=0.5, random_state=42) The whole point of temp_df in the first line was to separate out 30% for val/test; the second line splits that to … Re: Fine-Tuning OpenAI Whisper Model for Audio Classification in PyTorch 9 Months Ago by meyerrluanna The post gives a really clear, step-by-step guide on how to fine-tune the OpenAI Whisper model for audio classification. Its great how it covers everything from preparing the dataset to using tools for feature extraction and model training .This is definitely worth checking out, The explanations are practical, and the code snippets make it easy to … Re: Image Generation with State of the Art Flux Diffusion Models 9 Months Ago by autowrecking Impressive Thanks for sharing.