Instructions to use kejian/final-filter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kejian/final-filter with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("kejian/final-filter") model = AutoModel.from_pretrained("kejian/final-filter", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from kejian/final-filter: direct link, hf CLI and curl.
- Browser
- Download file 457 MB
-
https://huggingface.co/kejian/final-filter/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://kejian/final-filter/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/kejian/final-filter/resolve/main/pytorch_model.bin
457 MB
- Xet hash:
- 7ba0dbebfdc3fc751d3f1f9969ec349a58c9ea3aacaef99dbc8755072f3722a2
- Size of remote file:
- 457 MB
- SHA256:
- a129e924c8ed427e705eb923404ef9dfb7c6e7a7a86dbffbacb5465cc39d9042
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