Instructions to use emilys/BERTweet-WNUT17 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use emilys/BERTweet-WNUT17 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="emilys/BERTweet-WNUT17")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("emilys/BERTweet-WNUT17") model = AutoModelForTokenClassification.from_pretrained("emilys/BERTweet-WNUT17") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2d3503bdd15995f0ea3e91eda6f961835282f613b2064a6f9c10efcb912f65ed
- Size of remote file:
- 3.18 kB
- SHA256:
- aeef7ed383352ad2187d74a8f50f2f51a15996989e2b7fb2cb501b8a662facba
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