Instructions to use MAGAer13/mplug-owl-llama-7b-ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MAGAer13/mplug-owl-llama-7b-ft with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "image-to-text" 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("image-to-text", model="MAGAer13/mplug-owl-llama-7b-ft")# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("MAGAer13/mplug-owl-llama-7b-ft", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download preprocessor_config.json from MAGAer13/mplug-owl-llama-7b-ft: direct link, hf CLI and curl.
- Browser
- Download file 163 Bytes
-
https://huggingface.co/MAGAer13/mplug-owl-llama-7b-ft/resolve/main/preprocessor_config.json
- Command line
-
hf download hf://MAGAer13/mplug-owl-llama-7b-ft/preprocessor_config.json
-
curl -L -o preprocessor_config.json https://huggingface.co/MAGAer13/mplug-owl-llama-7b-ft/resolve/main/preprocessor_config.json
163 Bytes
| { | |
| "resolution": 224, | |
| "image_mean": [ | |
| 0.48145466, 0.4578275, 0.40821073 | |
| ], | |
| "image_std": [ | |
| 0.26862954, 0.26130258, 0.27577711 | |
| ] | |
| } |