Instructions to use sohith18/blip-lora-vqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sohith18/blip-lora-vqa with PEFT:
from peft import PeftModel from transformers import AutoModelForQuestionAnswering base_model = AutoModelForQuestionAnswering.from_pretrained("Salesforce/blip-vqa-base") model = PeftModel.from_pretrained(base_model, "sohith18/blip-lora-vqa") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from sohith18/blip-lora-vqa: direct link, hf CLI and curl.
- Browser
- Download file 84.9 MB
-
https://huggingface.co/sohith18/blip-lora-vqa/resolve/main/optimizer.pt
- Command line
-
hf download hf://sohith18/blip-lora-vqa/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/sohith18/blip-lora-vqa/resolve/main/optimizer.pt
84.9 MB
- Xet hash:
- 3759e6a340f2b723ef764b9939f3e32357df18152c4fefac1f07fa6a7520c237
- Size of remote file:
- 84.9 MB
- SHA256:
- dbf9eb1cac728c3054613a275ce39b2f3e7a3439d86e591e12564629795a6135
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