Instructions to use samkphd31/ASRS-CMFS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use samkphd31/ASRS-CMFS with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="samkphd31/ASRS-CMFS")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("samkphd31/ASRS-CMFS") model = AutoModel.from_pretrained("samkphd31/ASRS-CMFS", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from samkphd31/ASRS-CMFS: direct link, hf CLI and curl.
- Browser
- Download file 143 MB
-
https://huggingface.co/samkphd31/ASRS-CMFS/resolve/main/optimizer.pt
- Command line
-
hf download hf://samkphd31/ASRS-CMFS/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/samkphd31/ASRS-CMFS/resolve/main/optimizer.pt
143 MB
- Xet hash:
- ee3880e0d11caa98c6fb0d70605fd334c017cba8b1b1542478108c7da8ec8e42
- Size of remote file:
- 143 MB
- SHA256:
- 8edc638eb8be8f5dc7403db860fbd0dcbf00263f6986eb7dc172d6b40de82987
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