Instructions to use Navyandsu/vl_finetuned_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Navyandsu/vl_finetuned_model with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2-VL-7B-Instruct") model = PeftModel.from_pretrained(base_model, "Navyandsu/vl_finetuned_model") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Navyandsu/vl_finetuned_model: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/Navyandsu/vl_finetuned_model/resolve/main/tokenizer.json
- Command line
-
hf download hf://Navyandsu/vl_finetuned_model/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Navyandsu/vl_finetuned_model/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 37f7a4a2d4005d5f6d75b7602bb1f14c74a99b0ccb6158c538a3298393f20721
- Size of remote file:
- 11.4 MB
- SHA256:
- 99060f4c4ae9f8ce25170d8a933e3cdef85169ed8f58e707f6803848ecf98eb2
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