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:
- 13d7228351ba1554999d0a938d9eebcea3c50aa765c9a23f2cb412edcc9fd9c8
- Size of remote file:
- 537 MB
- SHA256:
- 1633271f9f446012c0ba268076291622dbfd5d5708725abef9e73f4c11660968
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