Instructions to use emilys/twitter-roberta-base-WNUT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use emilys/twitter-roberta-base-WNUT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="emilys/twitter-roberta-base-WNUT")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("emilys/twitter-roberta-base-WNUT") model = AutoModelForTokenClassification.from_pretrained("emilys/twitter-roberta-base-WNUT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 16ed67c3e86a2eac624b4e8e093a35bf3f12251b5aaae427d31e0cf411b1da00
- Size of remote file:
- 496 MB
- SHA256:
- aac991eb4255724e56f65023a64a8230de030129c9eb38eaa41f156f99f3273e
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