Instructions to use ClaudiaRichard/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ClaudiaRichard/test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ClaudiaRichard/test")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ClaudiaRichard/test") model = AutoModelForSequenceClassification.from_pretrained("ClaudiaRichard/test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ClaudiaRichard/test: direct link, hf CLI and curl.
- Browser
- Download file 5.71 kB
-
https://huggingface.co/ClaudiaRichard/test/resolve/main/training_args.bin
- Command line
-
hf download hf://ClaudiaRichard/test/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ClaudiaRichard/test/resolve/main/training_args.bin
5.71 kB
- Xet hash:
- 637f8c6dc77a9359c47089c46228c939d2c302910164a656907ce708de9d5645
- Size of remote file:
- 5.71 kB
- SHA256:
- fdcb18b42e98bf85201e815b88404af5aa5cbf63a4d2f8672c0188f0ba84199f
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