Instructions to use mag28/BLIPvizwiz2LoRA4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mag28/BLIPvizwiz2LoRA4 with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("Salesforce/blip-image-captioning-base") model = PeftModel.from_pretrained(base_model, "mag28/BLIPvizwiz2LoRA4") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from mag28/BLIPvizwiz2LoRA4: direct link, hf CLI and curl.
- Browser
- Download file 711 kB
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https://huggingface.co/mag28/BLIPvizwiz2LoRA4/resolve/main/tokenizer.json
- Command line
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hf download hf://mag28/BLIPvizwiz2LoRA4/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/mag28/BLIPvizwiz2LoRA4/resolve/main/tokenizer.json
711 kB
File too large to display, you can check the raw version instead.