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:
- 80716053d4e88a5b5e7b4f6a8d81cb57cf98f4dc58d1895d83370ecb42c39d16
- Size of remote file:
- 735 MB
- SHA256:
- 9eb3055489f6af8b3ff9d7d73c7ef3ced195487cae0e17b4b80e82c6f726846f
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