Instructions to use Gaju19/privacy-filter-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Gaju19/privacy-filter-lora with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Gaju19/privacy-filter-lora", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Gajanan Deshmukh commited on
Upload tokenizer
Browse files- .gitattributes +1 -0
- tokenizer.json +3 -0
- tokenizer_config.json +13 -0
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tokenizer.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:2d7495baffd9d66f2b8010b65ec44e5504e0fd62ad3845cf565feee2b315adbe
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size 27868275
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tokenizer_config.json
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{
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"backend": "tokenizers",
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"eos_token": "<|endoftext|>",
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"is_local": false,
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"local_files_only": false,
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"model_input_names": [
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"input_ids",
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"attention_mask"
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],
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"model_max_length": 128000,
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"pad_token": "<|endoftext|>",
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"tokenizer_class": "TokenizersBackend"
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}
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