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
Download merges.txt from leafyseay/RIME-2B: direct link, hf CLI and curl.
- Browser
- Download file 1.67 MB
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https://huggingface.co/leafyseay/RIME-2B/resolve/main/merges.txt
- Command line
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hf download hf://leafyseay/RIME-2B/merges.txt
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curl -L -o merges.txt https://huggingface.co/leafyseay/RIME-2B/resolve/main/merges.txt
1.67 MB
File too large to display, you can check the raw version instead.