Instructions to use adasgaleus/20240320102435_big_hinton with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use adasgaleus/20240320102435_big_hinton with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="adasgaleus/20240320102435_big_hinton")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("adasgaleus/20240320102435_big_hinton") model = AutoModelForTokenClassification.from_pretrained("adasgaleus/20240320102435_big_hinton", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from adasgaleus/20240320102435_big_hinton: direct link, hf CLI and curl.
- Browser
- Download file 4.98 kB
-
https://huggingface.co/adasgaleus/20240320102435_big_hinton/resolve/main/training_args.bin
- Command line
-
hf download hf://adasgaleus/20240320102435_big_hinton/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/adasgaleus/20240320102435_big_hinton/resolve/main/training_args.bin
4.98 kB
- Xet hash:
- ca409c52c13795f238d40b18288721e7520256da617c34f7252d8e9643c63364
- Size of remote file:
- 4.98 kB
- SHA256:
- 28bc13bc27031fe0ce2d9f2a55781526d8a2b84aee9285428cae88c401a7b2f4
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