Token Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
Eval Results (legacy)
Instructions to use maniack/my_awesome_wnut_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use maniack/my_awesome_wnut_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="maniack/my_awesome_wnut_model")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("maniack/my_awesome_wnut_model") model = AutoModelForTokenClassification.from_pretrained("maniack/my_awesome_wnut_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 79b16dffca48640c954c6cd15dbef654d5501bc97714d2f679a0c474de0bef57
- Size of remote file:
- 4.16 kB
- SHA256:
- 55faa1935df9bcb4f1ccca325dacbfe3e83a10e11fd995f3a100d8c29c09170b
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