Instructions to use karths/low_priority_roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karths/low_priority_roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="karths/low_priority_roberta")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("karths/low_priority_roberta") model = AutoModelForSequenceClassification.from_pretrained("karths/low_priority_roberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 74fe996c0fe51a94f50136bc5ff6166e5f197b1bae7430485949d0c7aa505f26
- Size of remote file:
- 710 MB
- SHA256:
- 00ff5d2231e5a005da2dde0d55d873b72c1a3121613f6eb39d575fe912950e65
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