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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 27c4090b6521745f5c3e8128341affaaad523dad06eac4068fa54b6ecea1f6e7
- Size of remote file:
- 3.45 kB
- SHA256:
- 65f97d2bd5ad81fdd447a9e2dbe5ac64effcf30f2ed4763fe28be30c02857ee7
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