Instructions to use deprem-ml/deprem-roberta-intent with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deprem-ml/deprem-roberta-intent with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="deprem-ml/deprem-roberta-intent")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("deprem-ml/deprem-roberta-intent", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8e8851a591f7eadbeefdc5c150a3c9d18101b8ec0a8e16d35c3e38b754791913
- Size of remote file:
- 627 Bytes
- SHA256:
- 5db0e39a44acab9e018c22b17648402b3a366f4fa1554d51de408a4da2a2c114
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