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 checkpoint-5000/optimizer.pt from kejian/improved-filter: direct link, hf CLI and curl.
- Browser
- Download file 888 MB
-
https://huggingface.co/kejian/improved-filter/resolve/main/checkpoint-5000/optimizer.pt
- Command line
-
hf download hf://kejian/improved-filter/checkpoint-5000/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/kejian/improved-filter/resolve/main/checkpoint-5000/optimizer.pt
888 MB
- Xet hash:
- f61ce979e4cb024057cf13e0e4dbc69f3789700bcee60d32bdf68f1c27efe15b
- Size of remote file:
- 888 MB
- SHA256:
- 670680b1040253f860cc44aaba0efdfc373c10f7d1ba9d32b24d97a32e212de6
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