Instructions to use geminimars/internvl-HN with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use geminimars/internvl-HN with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("OpenGVLab/InternVL2-8B") model = PeftModel.from_pretrained(base_model, "geminimars/internvl-HN") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 662dee33f718a4c5fd28efb8d44f9cb8089ab06ef2dc61132c98fd05e97344c8
- Size of remote file:
- 1.06 kB
- SHA256:
- d5ccfb671b3bcf0ec000da201187d640680707b6126e070560a47081cd755f42
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