Instructions to use ElMad/youthful-moose-938 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ElMad/youthful-moose-938 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ElMad/youthful-moose-938")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ElMad/youthful-moose-938") model = AutoModelForSequenceClassification.from_pretrained("ElMad/youthful-moose-938", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ElMad/youthful-moose-938: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/ElMad/youthful-moose-938/resolve/main/training_args.bin
- Command line
-
hf download hf://ElMad/youthful-moose-938/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ElMad/youthful-moose-938/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- 2e2ba0f68b221d53a07aabf99a4ef6ec0acd065fecd5eeb1b53e293a7df21ecf
- Size of remote file:
- 5.37 kB
- SHA256:
- 3185e389c72e6c4474dd9bf6b08b22a73162651a011c8df8e3315e167d4e8b6b
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