Instructions to use alessiodecastro/LoRA_adapters_Qwen2VL_2B-Vision_FineTuningRecaptcha_promptv1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alessiodecastro/LoRA_adapters_Qwen2VL_2B-Vision_FineTuningRecaptcha_promptv1 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("alessiodecastro/LoRA_adapters_Qwen2VL_2B-Vision_FineTuningRecaptcha_promptv1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer.json from alessiodecastro/LoRA_adapters_Qwen2VL_2B-Vision_FineTuningRecaptcha_promptv1: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/alessiodecastro/LoRA_adapters_Qwen2VL_2B-Vision_FineTuningRecaptcha_promptv1/resolve/main/tokenizer.json
- Command line
-
hf download hf://alessiodecastro/LoRA_adapters_Qwen2VL_2B-Vision_FineTuningRecaptcha_promptv1/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/alessiodecastro/LoRA_adapters_Qwen2VL_2B-Vision_FineTuningRecaptcha_promptv1/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 9634a13dce23097940ed18824bf83f15fb90710cb158f7ae03a04ac6043c6ba6
- Size of remote file:
- 11.4 MB
- SHA256:
- 091aa7594dc2fcfbfa06b9e3c22a5f0562ac14f30375c13af7309407a0e67b8a
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