Instructions to use damerajee/GPT-Vision with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use damerajee/GPT-Vision with Transformers:
# Load model directly from transformers import GPTVision model = GPTVision.from_pretrained("damerajee/GPT-Vision", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "GPTVision" | |
| ], | |
| "auto_map": { | |
| "AutoConfig": "configuration_gpt2vision.GPT2VisionConfig", | |
| "AutoModelForCausalLM": "modeling_gpt2vision.GPT2Vision" | |
| }, | |
| "model_type": "gptvision", | |
| "gpt_config": { | |
| "model_type":"gpt2" | |
| }, | |
| "torch_dtype":"float16", | |
| "transformers_version": "4.36.2" | |
| } |