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:
- 79bf04f737493bebfb459033bb26b0ee139a44cd2b25a90ba4d0443dbbacb53d
- Size of remote file:
- 4.66 kB
- SHA256:
- c0992365096820d3986d2dcce239035c87f1cb33d7b827bb94719fa843996c1c
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