Instructions to use anismahmahi/group4_non_all_zero with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anismahmahi/group4_non_all_zero with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="anismahmahi/group4_non_all_zero")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("anismahmahi/group4_non_all_zero") model = AutoModelForTokenClassification.from_pretrained("anismahmahi/group4_non_all_zero") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7294b1abc26b53a775322ac85b34d092ecf9cb71e11538b5e57f7ca3be2d71c1
- Size of remote file:
- 735 MB
- SHA256:
- 9200d21f5b6aaf366be086778669e0b80702d8e30e36443955ab7eca9a1ce7df
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