Instructions to use radna/mini_intern_chat_triton_2b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use radna/mini_intern_chat_triton_2b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="radna/mini_intern_chat_triton_2b", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("radna/mini_intern_chat_triton_2b", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from radna/mini_intern_chat_triton_2b: direct link, hf CLI and curl.
- Browser
- Download file 4.41 GB
-
https://huggingface.co/radna/mini_intern_chat_triton_2b/resolve/main/model.safetensors
- Command line
-
hf download hf://radna/mini_intern_chat_triton_2b/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/radna/mini_intern_chat_triton_2b/resolve/main/model.safetensors
4.41 GB
- Xet hash:
- e5bf236f44a4424bafc251a7a9c53bf1523125bf10aab635f6101b0faa3a871e
- Size of remote file:
- 4.41 GB
- SHA256:
- 4d5f814d2759a5de0e628ef0003c45a68fa4b6183ff905cc905c3d7ca3831805
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