Instructions to use kejian/mighty-filtering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kejian/mighty-filtering with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("kejian/mighty-filtering") model = AutoModel.from_pretrained("kejian/mighty-filtering", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from kejian/mighty-filtering: direct link, hf CLI and curl.
- Browser
- Download file 457 MB
-
https://huggingface.co/kejian/mighty-filtering/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://kejian/mighty-filtering/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/kejian/mighty-filtering/resolve/main/pytorch_model.bin
457 MB
- Xet hash:
- 56c09f09dfeaa2b5530780a3e14349e770fb85251bde5e47ad4871898fd5d229
- Size of remote file:
- 457 MB
- SHA256:
- 0f9542d83ced97b5b89090f723849239a0477b929121a74dc86843aff3da7145
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