Instructions to use emilys/BERTweet-CoNLL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use emilys/BERTweet-CoNLL with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="emilys/BERTweet-CoNLL")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("emilys/BERTweet-CoNLL") model = AutoModelForTokenClassification.from_pretrained("emilys/BERTweet-CoNLL") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cff3fbf0c96e9fb752159b686f81aa1edac8b54078827dc1a91ce940dd9ebb21
- Size of remote file:
- 3.18 kB
- SHA256:
- c4c064a9161dbc5eae5c847b64fdd64716f9cfc493daadef8c7d104794e6c0ea
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