Instructions to use TweebankNLP/bertweet-tb2-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TweebankNLP/bertweet-tb2-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="TweebankNLP/bertweet-tb2-ner")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("TweebankNLP/bertweet-tb2-ner") model = AutoModelForTokenClassification.from_pretrained("TweebankNLP/bertweet-tb2-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download bpe.codes from TweebankNLP/bertweet-tb2-ner: direct link, hf CLI and curl.
- Browser
- Download file 1.08 MB
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https://huggingface.co/TweebankNLP/bertweet-tb2-ner/resolve/refs%2Fpr%2F1/bpe.codes
- Command line
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hf download hf://TweebankNLP/bertweet-tb2-ner@refs/pr/1/bpe.codes
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curl -L -o bpe.codes https://huggingface.co/TweebankNLP/bertweet-tb2-ner/resolve/refs%2Fpr%2F1/bpe.codes
1.08 MB
File too large to display, you can check the raw version instead.