Instructions to use tner/bertweet-base-tweetner7-all with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tner/bertweet-base-tweetner7-all with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="tner/bertweet-base-tweetner7-all")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("tner/bertweet-base-tweetner7-all") model = AutoModelForTokenClassification.from_pretrained("tner/bertweet-base-tweetner7-all", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cd3056a177b2d5b7ae779d3d57e1eda02fd7bd64375fd51afdf9bf8ae6f6a423
- Size of remote file:
- 537 MB
- SHA256:
- c619ba0bed513cb4d30f6608e3c6c448e73dc7be63fdf6f84ad986daefc29717
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