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:
- 7ec6e0538f07d82b8bd7841d09fbab97f367e40072838b74bf4ebede855104ca
- Size of remote file:
- 3.45 kB
- SHA256:
- 527f26bc777b140343cf05189617f469b303546d3e3c93f020b38a0132910c2f
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