Instructions to use karths/High_priority_roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karths/High_priority_roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="karths/High_priority_roberta")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("karths/High_priority_roberta") model = AutoModelForSequenceClassification.from_pretrained("karths/High_priority_roberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 173f3430f976302b97eee99d21bebbbe722691cf20fb19ab6f10e8b4853b7a56
- Size of remote file:
- 1.3 GB
- SHA256:
- 331d097c71f6a71603e10b9b53edfd360a04641997a3fe95f146dd4781bf432b
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