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:
- b08e4c3347082f93be23a08fd8772013ac43603837adda3749f41a65bd56902c
- Size of remote file:
- 133 MB
- SHA256:
- 4329d38bcb602d54b1a5649f5c20dd5ddd5db16790961c4d2f1a0f9a8e3595cc
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