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
Upload
Browse files- rng_state.pth +3 -0
rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:8fbed61c5625687a03c9935f9072a607995609c9cffe893d437fdfe7d767b296
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size 14503
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