Instructions to use doomnova/distilbert_system_B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use doomnova/distilbert_system_B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="doomnova/distilbert_system_B")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("doomnova/distilbert_system_B") model = AutoModelForTokenClassification.from_pretrained("doomnova/distilbert_system_B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5ede2e8fb481128af301383362f59157fc8abf85c597724e2c60903b3bf469b4
- Size of remote file:
- 261 MB
- SHA256:
- ce3b4f7ad9da7c15ae6227b25d98d54412c5d4d6d20399ed143b0aa5017576fb
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