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:
- 50bc57dd2616e07564fbfe9c33b83920aba1f5ec8a0a3e5ee8799627b6bd6a19
- Size of remote file:
- 499 MB
- SHA256:
- c9821a6fcf7e02b118b18945dd27d0218f65723f9e4406b5a733183bec437085
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