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:
- dcc47cbeea44b832f41169429edf4b9ecae05d3027e3a42fe4826d4e808619ab
- Size of remote file:
- 18.9 MB
- SHA256:
- 934908191818388b67cd9e863630ee44be092075423ce9047fb3b8f25395ccd4
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