Instructions to use wanagenst/BERTwweet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wanagenst/BERTwweet with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="wanagenst/BERTwweet")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("wanagenst/BERTwweet") model = AutoModelForSequenceClassification.from_pretrained("wanagenst/BERTwweet") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2231336338c61fe6034a6afcfde415c5c6ad582d96b005948c555172b687099a
- Size of remote file:
- 540 MB
- SHA256:
- b902b1ae229927cd477af95d0874afd2ec07660e810eda835c7df72f8746f27a
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