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 pytorch_model.bin from samkphd31/ASRS-CMFS: direct link, hf CLI and curl.
- Browser
- Download file 71.6 MB
-
https://huggingface.co/samkphd31/ASRS-CMFS/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://samkphd31/ASRS-CMFS/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/samkphd31/ASRS-CMFS/resolve/main/pytorch_model.bin
71.6 MB
- Xet hash:
- 021d37624ac9d48df862cd3c6e6b649f87f2b5da130c1670fae95a1a1addb8cd
- Size of remote file:
- 71.6 MB
- SHA256:
- ba8fc675bcd53084be30bd7d3d8382845e4d5603091fbc12f49f54e064db9ab2
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