Instructions to use kejian/improved-filter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kejian/improved-filter with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("kejian/improved-filter") model = AutoModel.from_pretrained("kejian/improved-filter", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from kejian/improved-filter: direct link, hf CLI and curl.
- Browser
- Download file 457 MB
-
https://huggingface.co/kejian/improved-filter/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://kejian/improved-filter/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/kejian/improved-filter/resolve/main/pytorch_model.bin
457 MB
- Xet hash:
- d3ecd7c5aad1ccf0038d136cbfb7225bb134240d0d8a3bad49ad75767979a195
- Size of remote file:
- 457 MB
- SHA256:
- a11606741805c0f3d595303c8d072a32e8e62975b534ac39fb6c89a036aa0b58
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