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")# 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
- Xet hash:
- fb00cf15cd32bb91e34a06ec5ad31593f93562ddcda3e447344d080568b9eacd
- Size of remote file:
- 2.8 kB
- SHA256:
- a3c1325e3b7f3b51e41a7a7f18d70f5316c548163e624dbc53267a38bb6aa378
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