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:
- 024b9fa659b2147738e39e275a2fb8471a40d26d2571aa678b3b95738683d590
- Size of remote file:
- 7.26 kB
- SHA256:
- 858706d8f3c54ad15f422bdde72ec7ac07e7a6a1854048f372d99d1dcec8c89b
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