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:
- 44c886d60d0c6e7c273867b69189d43fa03e29f4018e1dea05b81bc77378636a
- Size of remote file:
- 20 MB
- SHA256:
- 05627db3b4fec4baf28cb74f0a4f49a6fd82fae2e4099e9ec2fdc6807b100193
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