Instructions to use anismahmahi/group2_non_all_zero with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anismahmahi/group2_non_all_zero with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="anismahmahi/group2_non_all_zero")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("anismahmahi/group2_non_all_zero") model = AutoModelForTokenClassification.from_pretrained("anismahmahi/group2_non_all_zero", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from anismahmahi/group2_non_all_zero: direct link, hf CLI and curl.
- Browser
- Download file 4.41 kB
-
https://huggingface.co/anismahmahi/group2_non_all_zero/resolve/45e543485f6c8f4fedf4aeb94ae3e6d630ffc5f3/training_args.bin
- Command line
-
hf download hf://anismahmahi/group2_non_all_zero@45e543485f6c8f4fedf4aeb94ae3e6d630ffc5f3/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/anismahmahi/group2_non_all_zero/resolve/45e543485f6c8f4fedf4aeb94ae3e6d630ffc5f3/training_args.bin
4.41 kB
- Xet hash:
- fdbc03f46f82907820bf706e2213443b30ace87b44baa7222cb1fa16843e0909
- Size of remote file:
- 4.41 kB
- SHA256:
- c83b3f76aeb664a937b6e498103e2407bda1f433f226a047c5db3a53df00a8b1
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