Instructions to use invincibility/test_intern25_mmqa_lora_5epoch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use invincibility/test_intern25_mmqa_lora_5epoch with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("OpenGVLab/InternVL2_5-8B") model = PeftModel.from_pretrained(base_model, "invincibility/test_intern25_mmqa_lora_5epoch") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 21c33ba7675c8d6c10dc0d7028fb04bd43b102f58ae305a6b317ad52af5bf7c9
- Size of remote file:
- 7.99 kB
- SHA256:
- c051e1be6e04008c50fb823d658e95be1e7fef050a85f97806562a5a69c8cf95
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