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 shared_storage_report.json from JacobLinCool/the-net: direct link, hf CLI and curl.
- Browser
- Download file 388 Bytes
-
https://huggingface.co/JacobLinCool/the-net/resolve/main/shared_storage_report.json
- Command line
-
hf download hf://JacobLinCool/the-net/shared_storage_report.json
-
curl -L -o shared_storage_report.json https://huggingface.co/JacobLinCool/the-net/resolve/main/shared_storage_report.json
388 Bytes
| { | |
| "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 | |
| } | |