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 pytorch_model.bin from prajwalJumde/test: direct link, hf CLI and curl.
- Browser
- Download file 501 MB
-
https://huggingface.co/prajwalJumde/test/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://prajwalJumde/test/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/prajwalJumde/test/resolve/main/pytorch_model.bin
501 MB
- Xet hash:
- a599fbaefc3bf0b853e125f5b07faee768345ecab27c4a609579cb62726a5334
- Size of remote file:
- 501 MB
- SHA256:
- 293b4a60712f02d8ddd70991c63178795d480e1a8557f95bb2067fc3743b5415
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