Instructions to use StatsGary/token_classification_wnut with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use StatsGary/token_classification_wnut with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="StatsGary/token_classification_wnut")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("StatsGary/token_classification_wnut") model = AutoModelForTokenClassification.from_pretrained("StatsGary/token_classification_wnut") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a844961439fc62b67a54dbc686ede707c3432de8c701ada598e0d180cd96de30
- Size of remote file:
- 266 MB
- SHA256:
- a604b8f939e633fb37665bf8fa5ff1781ee0c1fe04e0e1d5f2fe0b2c08edeb16
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