Instructions to use karths/low_priority_roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karths/low_priority_roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="karths/low_priority_roberta")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("karths/low_priority_roberta") model = AutoModelForSequenceClassification.from_pretrained("karths/low_priority_roberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2d27fd9a433f0bb6d68cb00945691d29bfdcf94778fad53b5e1f1ab25e4db10d
- Size of remote file:
- 130 MB
- SHA256:
- d0be65c54fb289f6bd4bda0fe2a3ca1fdb3e3f485f5b821881b5ca8eb1e236a5
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