Instructions to use thealper2/git-vqav2-medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thealper2/git-vqav2-medium with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "visual-question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("visual-question-answering", model="thealper2/git-vqav2-medium")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("thealper2/git-vqav2-medium") model = AutoModelForMultimodalLM.from_pretrained("thealper2/git-vqav2-medium", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from thealper2/git-vqav2-medium: direct link, hf CLI and curl.
- Browser
- Download file 136 Bytes
-
https://huggingface.co/thealper2/git-vqav2-medium/resolve/main/generation_config.json
- Command line
-
hf download hf://thealper2/git-vqav2-medium/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/thealper2/git-vqav2-medium/resolve/main/generation_config.json
136 Bytes
| { | |
| "_from_model_config": true, | |
| "bos_token_id": 101, | |
| "eos_token_id": 102, | |
| "pad_token_id": 0, | |
| "transformers_version": "5.17.0" | |
| } | |