Instructions to use researchworkai/Sentiment-roBERTa-Twitter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use researchworkai/Sentiment-roBERTa-Twitter with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="researchworkai/Sentiment-roBERTa-Twitter")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("researchworkai/Sentiment-roBERTa-Twitter") model = AutoModelForSequenceClassification.from_pretrained("researchworkai/Sentiment-roBERTa-Twitter") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6f9cfa6b432d2afe8f47be3e66dda531fd3c54b9458849a987a0638934273ee8
- Size of remote file:
- 501 MB
- SHA256:
- 60edb4641e2b28ee3ecfb272f96cb9a6b0a662f4072eaf294dd8a1fd8b8484f3
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