Instructions to use sofom/roberta-base-mage with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sofom/roberta-base-mage with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="sofom/roberta-base-mage")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("sofom/roberta-base-mage") model = AutoModel.from_pretrained("sofom/roberta-base-mage", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 20cd28a1d79f93f598b70a3082f8d7cfb37a433883da28d3ac374375fa0b83f0
- Size of remote file:
- 249 MB
- SHA256:
- f50054ceedeca4a2c024e4c8edab9665fe030512cfa4beba1e2e39211c26e4c6
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