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:
- af7f8a80ee984faa30f3539d5f9fed4d0683faf73b1c28076c92d9f4d7961388
- Size of remote file:
- 997 MB
- SHA256:
- b07f7cd3191a3cd37c9a73a2ff9b8f9b087e9e97c7d0dd5dacacc2d90912c4ae
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