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text-generation-inference
Instructions to use InternRobotics/InternVLA-N1-wo-dagger with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use InternRobotics/InternVLA-N1-wo-dagger with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForCausalLM processor = AutoProcessor.from_pretrained("InternRobotics/InternVLA-N1-wo-dagger") model = AutoModelForCausalLM.from_pretrained("InternRobotics/InternVLA-N1-wo-dagger") - Notebooks
- Google Colab
- Kaggle
ChaimZhu commited on
Commit ·
db65ad4
1
Parent(s): b34c8e4
update model type in config.json
Browse files- config.json +1 -1
config.json
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@@ -12,7 +12,7 @@
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"intermediate_size": 18944,
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"max_position_embeddings": 128000,
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"max_window_layers": 28,
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"model_type": "
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"n_query": 16,
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"navdp": "NavDP_Policy_DPT_CriticSum_DAT",
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"navdp_pretrained": null,
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"intermediate_size": 18944,
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"max_position_embeddings": 128000,
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"max_window_layers": 28,
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"model_type": "qwen2_5_vl",
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"n_query": 16,
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"navdp": "NavDP_Policy_DPT_CriticSum_DAT",
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"navdp_pretrained": null,
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