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:
- ed1353e4bbb4ff858cb9bd80bbddbb297ae5590a3c04b2b3ce617dad898ae324
- Size of remote file:
- 499 MB
- SHA256:
- a4d892ae550c152fd6175b7be9841cd9d3509ae80ea4b0aefe28ba41ea610d4d
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