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ProCreations
/
betterwright-encoder-350m

Text Classification
Transformers
Safetensors
lfm2
feature-extraction
betterwright
accessibility
browser-agent
reranking
long-context
custom_code
Model card Files Files and versions
xet
Community

Instructions to use ProCreations/betterwright-encoder-350m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ProCreations/betterwright-encoder-350m with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="ProCreations/betterwright-encoder-350m", trust_remote_code=True)
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("ProCreations/betterwright-encoder-350m", trust_remote_code=True)
    model = AutoModel.from_pretrained("ProCreations/betterwright-encoder-350m", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
betterwright-encoder-350m / scripts
12.5 kB
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  • 1 contributor
History: 2 commits
ProCreations's picture
ProCreations
Upload scripts/tree_utils.py with huggingface_hub
4c88467 verified 9 days ago
  • inference_server.py
    10 kB
    Upload scripts/inference_server.py with huggingface_hub 9 days ago
  • tree_utils.py
    2.48 kB
    Upload scripts/tree_utils.py with huggingface_hub 9 days ago