Instructions to use mm/roberta-base-mld with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mm/roberta-base-mld with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="mm/roberta-base-mld")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("mm/roberta-base-mld") model = AutoModel.from_pretrained("mm/roberta-base-mld") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bb0d9dfa4eacb8fffbd82b1e3d3a63feb395e8d7cbedef2b6dd371943bdbade0
- Size of remote file:
- 499 MB
- SHA256:
- 96cf61c919beec2c352469f0971591be4e26e21f4cfad47f162952aa59f6682b
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