Instructions to use prajwalJumde/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prajwalJumde/test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="prajwalJumde/test")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("prajwalJumde/test") model = AutoModelForTokenClassification.from_pretrained("prajwalJumde/test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from prajwalJumde/test: direct link, hf CLI and curl.
- Browser
- Download file 4.03 kB
-
https://huggingface.co/prajwalJumde/test/resolve/main/training_args.bin
- Command line
-
hf download hf://prajwalJumde/test/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/prajwalJumde/test/resolve/main/training_args.bin
4.03 kB
- Xet hash:
- 418e7008e19a4ba83723cd617b231542d0c43d0af3d8ee3e85bb04e9076ae4ad
- Size of remote file:
- 4.03 kB
- SHA256:
- 328fd34fef2544443eac8a5d663fb0938b27d825aa08813ac464b0d927fa103a
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