Instructions to use adityaprakhar/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use adityaprakhar/test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="adityaprakhar/test")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("adityaprakhar/test") model = AutoModelForTokenClassification.from_pretrained("adityaprakhar/test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from adityaprakhar/test: direct link, hf CLI and curl.
- Browser
- Download file 4.86 kB
-
https://huggingface.co/adityaprakhar/test/resolve/main/training_args.bin
- Command line
-
hf download hf://adityaprakhar/test/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/adityaprakhar/test/resolve/main/training_args.bin
4.86 kB
- Xet hash:
- e39de43e117bf5119c64e7b9ed338d49efe595451c7b352e022ee58d2a7c8947
- Size of remote file:
- 4.86 kB
- SHA256:
- d45b369285d166794ffff8918a960a4db15254d8c979e31677633610a0703702
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