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:
- 105b8c5483539dbb67e5b2ded7aff952d64dd64674a443d566ef936e54ef1243
- Size of remote file:
- 1.25 GB
- SHA256:
- 87eeb3c0453466ad2cc2cc9b445071cec29e57051d2a055fa988d8039b85282c
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