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 training_args.bin from samkphd31/ASRS-CMFS: direct link, hf CLI and curl.
- Browser
- Download file 3.38 kB
-
https://huggingface.co/samkphd31/ASRS-CMFS/resolve/main/training_args.bin
- Command line
-
hf download hf://samkphd31/ASRS-CMFS/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/samkphd31/ASRS-CMFS/resolve/main/training_args.bin
3.38 kB
- Xet hash:
- d448cb537bdf68aec554d5f9e70d20f5ae211127ef8a21fab0964e192f1c02fd
- Size of remote file:
- 3.38 kB
- SHA256:
- d209a63a0ed0a55640f94dbd0c860520a15496fad83d8ee40c9edd2010b23758
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