Text Classification
Transformers
PyTorch
TensorFlow
JAX
English
roberta
sentiment
twitter
reviews
siebert
Instructions to use siebert/sentiment-roberta-large-english with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use siebert/sentiment-roberta-large-english with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="siebert/sentiment-roberta-large-english")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("siebert/sentiment-roberta-large-english") model = AutoModelForSequenceClassification.from_pretrained("siebert/sentiment-roberta-large-english") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c9254900e1f065e2848812c5c36731ac02f8df022907ac12928c60cad91941d6
- Size of remote file:
- 1.78 kB
- SHA256:
- d5e2a9595b1a87ea900aedcf4e058f6d0f04a1acf928596c0d35b923d36d0476
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