Instructions to use leafyseay/RIME-2B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use leafyseay/RIME-2B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="leafyseay/RIME-2B")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("leafyseay/RIME-2B") model = AutoModelForMultimodalLM.from_pretrained("leafyseay/RIME-2B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Add pipeline tag, library name, and link to paper (#1)
- Add pipeline tag, library name, and link to paper (c80763f0c11af5491ee1739117aaeb82f04a6643) Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>4d8ad8b
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