Instructions to use j-hartmann/sentiment-roberta-large-english-3-classes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use j-hartmann/sentiment-roberta-large-english-3-classes with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="j-hartmann/sentiment-roberta-large-english-3-classes")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("j-hartmann/sentiment-roberta-large-english-3-classes") model = AutoModelForSequenceClassification.from_pretrained("j-hartmann/sentiment-roberta-large-english-3-classes") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ca89d18fe64362e826b45062678d9ef34c492e157b924af0387cda5b92f5a46b
- Size of remote file:
- 2.48 kB
- SHA256:
- c94d9fec91dba96c54b611495c211e50762e5ff7e082e70b8e40c00a676aae26
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