Instructions to use ElMad/adaptable-fly-271 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ElMad/adaptable-fly-271 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ElMad/adaptable-fly-271")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ElMad/adaptable-fly-271") model = AutoModelForSequenceClassification.from_pretrained("ElMad/adaptable-fly-271", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ElMad/adaptable-fly-271: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/ElMad/adaptable-fly-271/resolve/main/training_args.bin
- Command line
-
hf download hf://ElMad/adaptable-fly-271/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ElMad/adaptable-fly-271/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- 7d0f4e1c190337aadba4afeb270f57826684a26db217f03eb0c3bf3f84def1e9
- Size of remote file:
- 5.37 kB
- SHA256:
- c2f842290601325e1733bb4f507b36ab67e233a264af397c7856bb3df03270f6
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