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")# pip install -U transformers accelerate # 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
Commit History
-
update model card README.md
1ed9509 -
Training in progress, epoch 1
9804bce -
Training in progress, epoch 2
96998b1 -
Training in progress, epoch 1
23d11dc -
Training in progress, epoch 2
c98b555 -
Training in progress, epoch 1
4cf6693 -
update model card README.md
b45a4b5 -
End of training
1c206a2 -
Training in progress, epoch 2
905d9c2 -
Training in progress, epoch 1
509b425 -
Training in progress, epoch 5
3078568 -
Training in progress, epoch 4
f1c873e -
Training in progress, epoch 3
02c19fb -
Training in progress, epoch 2
2279ebe -
Training in progress, epoch 1
42d5bfc -
update model card README.md
e248df5 -
Training in progress, epoch 2
862ba5d -
Training in progress, epoch 1
8c0e43c -
initial commit
2ecb78c