Instructions to use skar02/tiny-llava-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use skar02/tiny-llava-finetuned with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("tinyllava/TinyLLaVA-Phi-2-SigLIP-3.1B") model = PeftModel.from_pretrained(base_model, "skar02/tiny-llava-finetuned") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from skar02/tiny-llava-finetuned: direct link, hf CLI and curl.
- Browser
- Download file 6.2 kB
-
https://huggingface.co/skar02/tiny-llava-finetuned/resolve/main/training_args.bin
- Command line
-
hf download hf://skar02/tiny-llava-finetuned/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/skar02/tiny-llava-finetuned/resolve/main/training_args.bin
6.2 kB
- Xet hash:
- cfc4312436db2c94e9842f169310fdcb6fb3791bd2e9c923226ce8a7b3a0f93f
- Size of remote file:
- 6.2 kB
- SHA256:
- dbddf3734acd67ad630828daeddbae4586be2f2d2bfe6a5371f31ba5bc150ca2
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