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:
- c8d891efca40f73af6300af74626bac52f32279ce3f71131b44628af7aab3ab0
- Size of remote file:
- 4.41 kB
- SHA256:
- e22e3df1f7dd33822cf8c6f5cffd0f4bb16ad03a2b9cdaf0cdcb856a6bba4759
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