Instructions to use karths/medium_priority_roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karths/medium_priority_roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="karths/medium_priority_roberta")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("karths/medium_priority_roberta") model = AutoModelForSequenceClassification.from_pretrained("karths/medium_priority_roberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 69ebcbe059083ca7560a524b5d8a3e981824d9a3e86e19a8b89dd91c8f2acfe1
- Size of remote file:
- 740 MB
- SHA256:
- 974465e69f61aeeb0bd35a58984cda3aa19211c1d4048e18c400c381a4787843
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