Instructions to use eabdullin/MathGenie-InterLM-20B-AWQ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eabdullin/MathGenie-InterLM-20B-AWQ with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="eabdullin/MathGenie-InterLM-20B-AWQ", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("eabdullin/MathGenie-InterLM-20B-AWQ", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ca62f597522ced2dc305e9a50ac815191b3a5f18a63009d4560b26cc32f2f56e
- Size of remote file:
- 1.99 GB
- SHA256:
- 421ac1545ed731e8f5465ebe1200c85f0bad133cac0ea53427ba62f366fc2ad9
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