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  • How to download a model from huggingface? - Stack Overflow
    To download models from 🤗Hugging Face, you can use the official CLI tool huggingface-cli or the Python method snapshot_download from the huggingface_hub library Using huggingface-cli: To download the "bert-base-uncased" model, simply run: $ huggingface-cli download bert-base-uncased Using snapshot_download in Python:
  • python - Efficiently using Hugging Face transformers pipelines on GPU . . .
    I'm relatively new to Python and facing some performance issues while using Hugging Face Transformers for sentiment analysis on a relatively large dataset I've created a DataFrame with 6000 rows of text data in Spanish, and I'm applying a sentiment analysis pipeline to each row of text Here's a simplified version of my code:
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    Is there any way to get list of models available on Hugging Face? E g for Automatic Speech Recognition (ASR)
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    Stack Overflow for Teams Where developers technologists share private knowledge with coworkers; Advertising Reach devs technologists worldwide about your product, service or employer brand
  • Loading Hugging face model is taking too much memory
    I am trying to load a large Hugging face model with code like below: model_from_disc = AutoModelForCausalLM from_pretrained(path_to_model) tokenizer_from_disc = AutoTokenizer from_pretrained(
  • HuggingFace Inference Endpoints extremely slow performance
    I compute vector embeddings for text paragraphs using the all-MiniLM-L6-v2 model at HuggingFace Since the free endpoint wasn't always responsive enough and I need to be able to scale, I deployed the model to HuggingFace Inference Endpoints
  • How to deploy custom Huggingface models on Azure ML
    Hugging Face models have easy one-click deployment via model catalog Still, some models such as facebook audiogen-medium, are not available on the Azure model catalog and do not have Deploy button on Hugging Face I followed these official tutorials for deploying custom models: Deploy a model as an online endpoint
  • Create API Endpoint from hugging face space - Stack Overflow
    I have created a Space on Hugging Face that runs my custom machine-learning model using Gradio It works perfectly in the web interface, but now I want to convert this Space into an API endpoint that I can call from my application Could someone guide me through the process of converting my Hugging Face Space to an API endpoint?
  • Finding embedding dimentions of the HuggingFace model
    I've been investigating how to determine the embedding size when using HuggingFaceEmbedding from the langchain_huggingface package
  • How to get the accuracy per epoch or step for the huggingface . . .
    I'm using the huggingface Trainer with BertForSequenceClassification from_pretrained( quot;bert-base-uncased quot;) model Simplified, it looks like this: model = BertForSequenceClassification





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