Text Classification
Transformers
PyTorch
roberta
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use pachequinho/sentiment_roberta_twitter_imdb_10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pachequinho/sentiment_roberta_twitter_imdb_10 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="pachequinho/sentiment_roberta_twitter_imdb_10")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("pachequinho/sentiment_roberta_twitter_imdb_10") model = AutoModelForSequenceClassification.from_pretrained("pachequinho/sentiment_roberta_twitter_imdb_10") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5e0854a2a5ac4a900e7dd7b12ec929ac3d706f051af59a51121b71f1aeae7d7b
- Size of remote file:
- 499 MB
- SHA256:
- 48470a6c29fe171228e4028b707c9912261e21d6864dbd8bea62665991f3e3cd
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