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:
- 1757374fc7e29c9cfd83c57cfa27c0b8156fc6f4e032abfb4bd8f2913df7c4f9
- Size of remote file:
- 4.41 kB
- SHA256:
- 90402d2617d0dc541936187ab4479c359e096cd480f15d6b8d41308ac2e8b544
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