Instructions to use Kim-Rass/InternVL3-2B-KDL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kim-Rass/InternVL3-2B-KDL with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Kim-Rass/InternVL3-2B-KDL", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Kim-Rass/InternVL3-2B-KDL", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from Kim-Rass/InternVL3-2B-KDL: direct link, hf CLI and curl.
- Browser
- Download file 69 Bytes
-
https://huggingface.co/Kim-Rass/InternVL3-2B-KDL/resolve/main/generation_config.json
- Command line
-
hf download hf://Kim-Rass/InternVL3-2B-KDL/generation_config.json
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curl -L -o generation_config.json https://huggingface.co/Kim-Rass/InternVL3-2B-KDL/resolve/main/generation_config.json
69 Bytes
| { | |
| "_from_model_config": true, | |
| "transformers_version": "4.52.3" | |
| } | |