Instructions to use TweebankNLP/bertweet-tb2_ewt-pos-tagging with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TweebankNLP/bertweet-tb2_ewt-pos-tagging with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="TweebankNLP/bertweet-tb2_ewt-pos-tagging")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("TweebankNLP/bertweet-tb2_ewt-pos-tagging") model = AutoModelForTokenClassification.from_pretrained("TweebankNLP/bertweet-tb2_ewt-pos-tagging") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e652ffdedbf91ed43a7338baff51ac41af0012ddd68be6ca740e224ea6097003
- Size of remote file:
- 2.86 kB
- SHA256:
- b7ae5da3d5ec8820196a7c44f2b8a056dc59857470da25a4c22791d3b45aaedd
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