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")# 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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4538ea2493ba45e437b0c452b63841579248d628f76bda1a198e6e161332b11e
- Size of remote file:
- 4.41 kB
- SHA256:
- 9f52e80521a0bffa9702ca6ca31841e4f09b446fb636d34ea78db3a7d6282c9f
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