Instructions to use anismahmahi/group3_non_all_zero with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anismahmahi/group3_non_all_zero with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="anismahmahi/group3_non_all_zero")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("anismahmahi/group3_non_all_zero") model = AutoModelForTokenClassification.from_pretrained("anismahmahi/group3_non_all_zero", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1b0ac9ea05afcc94820dce73c18836c94c17ced3ff23f2fd201d7f9759157d21
- Size of remote file:
- 735 MB
- SHA256:
- 62f8c4cff315755e0b1557800568bb3d3135b7fd5fc2123a01e0827bb865fa66
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