Instructions to use maanm/llavaFineTuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use maanm/llavaFineTuned with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("llava-hf/llava-v1.6-mistral-7b-hf") model = PeftModel.from_pretrained(base_model, "maanm/llavaFineTuned") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a60293f5720de6a676f44850d839a277fb1f0702fd5d297086e36a0a9ecb5dc4
- Size of remote file:
- 5.5 kB
- SHA256:
- 7fb0f34bf2c6835a74479da32fd8ae36f2c46d92145fe3e46fd5353969ea2519
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