Instructions to use kejian/curious-filtering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kejian/curious-filtering with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("kejian/curious-filtering") model = AutoModel.from_pretrained("kejian/curious-filtering", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from kejian/curious-filtering: direct link, hf CLI and curl.
- Browser
- Download file 457 MB
-
https://huggingface.co/kejian/curious-filtering/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://kejian/curious-filtering/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/kejian/curious-filtering/resolve/main/pytorch_model.bin
457 MB
- Xet hash:
- 37e9db9c2d06fabec3b89be4e4fbae8186daab9e27acdcc66133eeac86dd6582
- Size of remote file:
- 457 MB
- SHA256:
- f70a6129e4c6f11ee00c0b9ef96484f40c7702e10a439ec9607902bc5470cd20
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