Instructions to use beva/beavers-shield with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use beva/beavers-shield with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("beva/beavers-shield") model = AutoModel.from_pretrained("beva/beavers-shield") - Notebooks
- Google Colab
- Kaggle
Upload pytorch_model.bin
Browse files- pytorch_model.bin +3 -0
pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:77a532dae20276d24c5396c33ef89a9dcad6c6175fc143db80d568a46bd9b9c9
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size 438141945
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