Instructions to use m-usab/acronym-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use m-usab/acronym-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="m-usab/acronym-classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("m-usab/acronym-classifier") model = AutoModelForTokenClassification.from_pretrained("m-usab/acronym-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from m-usab/acronym-classifier: direct link, hf CLI and curl.
- Browser
- Download file 5.24 kB
-
https://huggingface.co/m-usab/acronym-classifier/resolve/main/training_args.bin
- Command line
-
hf download hf://m-usab/acronym-classifier/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/m-usab/acronym-classifier/resolve/main/training_args.bin
5.24 kB
- Xet hash:
- 5607c5b4f3ea8d0910d0fd6f48dcba6ffe0eeaeba2113d2e62db1b4057883fc9
- Size of remote file:
- 5.24 kB
- SHA256:
- 78425822c9d4425fa3d88f824bfd80b72ee1360b07cbf2853782a5d3e12ebfc3
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