Instructions to use HuggingFaceH4/sft-llava-1.5-7b-hf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use HuggingFaceH4/sft-llava-1.5-7b-hf with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("llava-hf/llava-1.5-7b-hf") model = PeftModel.from_pretrained(base_model, "HuggingFaceH4/sft-llava-1.5-7b-hf") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from HuggingFaceH4/sft-llava-1.5-7b-hf: direct link, hf CLI and curl.
- Browser
- Download file 5.56 kB
-
https://huggingface.co/HuggingFaceH4/sft-llava-1.5-7b-hf/resolve/main/training_args.bin
- Command line
-
hf download hf://HuggingFaceH4/sft-llava-1.5-7b-hf/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/HuggingFaceH4/sft-llava-1.5-7b-hf/resolve/main/training_args.bin
5.56 kB
- Xet hash:
- 1de735cb71d21f00ef87a2c9a3aa63588ee5f9671e76f7f4585de70dfaca1f7d
- Size of remote file:
- 5.56 kB
- SHA256:
- a0f7fdfb825e3754f405be89f2efe3b113b1fcb772f14fb3b4f16db828531410
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