Instructions to use korca/roberta-base-mm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use korca/roberta-base-mm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="korca/roberta-base-mm")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("korca/roberta-base-mm") model = AutoModel.from_pretrained("korca/roberta-base-mm") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2de0f7fab7b7086e8e6714a020b768833de4dee9c39bb98a39d2b6429736a1aa
- Size of remote file:
- 496 MB
- SHA256:
- fec2551d63290cd0d37f935f6bd3615bd8b2a2acdfa61a9d9d8e065af5bee957
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