Instructions to use AyaKhaled/phi_vision_checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use AyaKhaled/phi_vision_checkpoints 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, "AyaKhaled/phi_vision_checkpoints") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from AyaKhaled/phi_vision_checkpoints: direct link, hf CLI and curl.
- Browser
- Download file 5.62 kB
-
https://huggingface.co/AyaKhaled/phi_vision_checkpoints/resolve/main/training_args.bin
- Command line
-
hf download hf://AyaKhaled/phi_vision_checkpoints/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/AyaKhaled/phi_vision_checkpoints/resolve/main/training_args.bin
5.62 kB
- Xet hash:
- f6134c60f08966ad651c5365c567620d0b71b1d6d4489297f2ca8ccb54aa44ca
- Size of remote file:
- 5.62 kB
- SHA256:
- 5059887531fa3234c289fdd15658dd855c98ba46caca6c4980c946162cb74a1e
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