Visual Question Answering
Transformers
Safetensors
cvrr_merged
feature-extraction
cvrr
custom_code
latent-reasoning
Instructions to use dmis-lab/InternVL3-9B-CVRR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dmis-lab/InternVL3-9B-CVRR with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "visual-question-answering" 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("visual-question-answering", model="dmis-lab/InternVL3-9B-CVRR", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("dmis-lab/InternVL3-9B-CVRR", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download native_backbone/tokenizer.model from dmis-lab/InternVL3-9B-CVRR: direct link, hf CLI and curl.
- Browser
- Download file 2.48 MB
-
https://huggingface.co/dmis-lab/InternVL3-9B-CVRR/resolve/main/native_backbone/tokenizer.model
- Command line
-
hf download hf://dmis-lab/InternVL3-9B-CVRR/native_backbone/tokenizer.model
-
curl -L -o tokenizer.model https://huggingface.co/dmis-lab/InternVL3-9B-CVRR/resolve/main/native_backbone/tokenizer.model
2.48 MB
- Xet hash:
- b2141995eb81eb3f0cd35d9514c7adce04d5e24953568445f43432c108a36b11
- Size of remote file:
- 2.48 MB
- SHA256:
- bcacff3229854f5103ee7a85473a30ca9a8b3a68f3aae9b7479574b23ac2256b
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