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
File size: 388 Bytes
93ebaf2 | 1 2 3 4 5 6 7 8 9 10 11 12 | {
"format": "the-net-shared-aliases-v2",
"architecture_tensors": 68464,
"bank_aliases": 9400,
"expanded_header_entries": 77864,
"expanded_raw_header_bytes": 10728368,
"expected_native_count": 20186399438585,
"logical_architecture_parameters": 20088058521618,
"count_semantics": "Architecture blocks plus repeated shared-bank bit slots",
"unique_file_bytes": 405144382
}
|