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:
- 2a1bc05b5102d44d878d394693fc87649f9d7acae2716462f0965ed66bcbafb4
- Size of remote file:
- 32 MB
- SHA256:
- 28fdd2b5366b826ee1e1b29a34df9c1207226ae8b794638cc4fb075bd7de60c1
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