Feature Extraction
Transformers
Safetensors
the_net_omni
custom_code
multimodal
mixture-of-experts
weight-sharing
8-bit precision
compressed-tensors
Instructions to use JacobLinCool/the-net with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JacobLinCool/the-net with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="JacobLinCool/the-net", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("JacobLinCool/the-net", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from JacobLinCool/the-net: direct link, hf CLI and curl.
- Browser
- Download file 3.19 kB
-
https://huggingface.co/JacobLinCool/the-net/resolve/main/config.json
- Command line
-
hf download hf://JacobLinCool/the-net/config.json
-
curl -L -o config.json https://huggingface.co/JacobLinCool/the-net/resolve/main/config.json
3.19 kB
| { | |
| "architectures": [ | |
| "OmniModel" | |
| ], | |
| "audio_codebook_size": 1024, | |
| "audio_codebooks": 8, | |
| "audio_frame_size": 320, | |
| "auto_map": { | |
| "AutoConfig": "configuration_omni.OmniConfig", | |
| "AutoModel": "modeling_omni.OmniModel" | |
| }, | |
| "checkpoint_format": "the-net-shared-aliases-v2", | |
| "context_dim": 256, | |
| "eeg_channels": 64, | |
| "head_dim": 128, | |
| "initialization": "constant, untrained", | |
| "model_type": "the_net_omni", | |
| "patch_size": 4, | |
| "stages": { | |
| "audio_decoder": [ | |
| [ | |
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| "fusion": [ | |
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| "image_decoder": [ | |
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| "text_encoder": [ | |
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| "video_decoder": [ | |
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| "world_model": [ | |
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| }, | |
| "transformers_version": "4.57.6", | |
| "vocab_size": 259, | |
| "quantization_config": { | |
| "quant_method": "compressed-tensors", | |
| "format": "pack-quantized", | |
| "config_groups": { | |
| "shared_bank": { | |
| "targets": [ | |
| "shared_bank" | |
| ], | |
| "weights": { | |
| "num_bits": 1, | |
| "type": "int", | |
| "symmetric": false, | |
| "strategy": "tensor", | |
| "dynamic": false | |
| } | |
| } | |
| } | |
| } | |
| } | |