Token Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
Eval Results (legacy)
Instructions to use Ben10x/tutorial_wnut_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ben10x/tutorial_wnut_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Ben10x/tutorial_wnut_model")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Ben10x/tutorial_wnut_model") model = AutoModelForTokenClassification.from_pretrained("Ben10x/tutorial_wnut_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 215be2f228e953084830e0336b64a4a80a8bcd5f869acbf96ff293f249260818
- Size of remote file:
- 266 MB
- SHA256:
- d487daed1af78bc89efc7ea58bdd49b0d7f4ae2ef3e6b3c76f388469c8b306bf
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