Instructions to use hagara/roberta-large-three-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hagara/roberta-large-three-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hagara/roberta-large-three-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hagara/roberta-large-three-classification") model = AutoModelForSequenceClassification.from_pretrained("hagara/roberta-large-three-classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 114f4e77ea6efb53ba7d554f1a5cd18161e57a8385cd642866febdcf1764254e
- Size of remote file:
- 4.09 kB
- SHA256:
- b84e596d44d5af12b72da717209b83430b4c578fad5e2852d29778d308742e12
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