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", device_map="auto")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("wanagenst/BERTwweet") model = AutoModelForSequenceClassification.from_pretrained("wanagenst/BERTwweet", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c2c66ceee1eb62a9dd468e8d703ba1e42d5cdd6c563eeea21f7614c92c7363e4
- Size of remote file:
- 3.9 kB
- SHA256:
- b6939d824382271748036e3763590ed0cfafd7970edd5dfcb2ebbe9b06903956
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