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:
- c20e98ebd002255305102e9b2bc2cfbedfdb81bb6bc0e2961f40213339767c17
- Size of remote file:
- 225 MB
- SHA256:
- bc7fba173ec0075297e47979ff939e2df3317001c133226328fd117e77e082f4
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