Instructions to use tiny-random/minicpm-v-4.6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tiny-random/minicpm-v-4.6 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="tiny-random/minicpm-v-4.6")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("tiny-random/minicpm-v-4.6") model = AutoModel.from_pretrained("tiny-random/minicpm-v-4.6", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download .meta.json from tiny-random/minicpm-v-4.6: direct link, hf CLI and curl.
- Browser
- Download file 56 Bytes
-
https://huggingface.co/tiny-random/minicpm-v-4.6/resolve/main/.meta.json
- Command line
-
hf download hf://tiny-random/minicpm-v-4.6/.meta.json
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curl -L -o .meta.json https://huggingface.co/tiny-random/minicpm-v-4.6/resolve/main/.meta.json
56 Bytes
| { | |
| "torch": "2.10.0+cu128", | |
| "transformers": "5.9.0" | |
| } |