Instructions to use beva/heb-beavers-dam with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use beva/heb-beavers-dam with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("beva/heb-beavers-dam", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Update config.json
Browse files- config.json +3 -3
config.json
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{
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"model_type": "
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"model_name": "
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"tokenizer_name": "
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}
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{
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"model_type": "distilbert",
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"model_name": "beva/distilbert-base-uncased",
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"tokenizer_name": "beva/distilbert-base-uncased"
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}
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