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 initialization.st from JacobLinCool/the-net: direct link, hf CLI and curl.
- Browser
- Download file 8.77 MB
-
https://huggingface.co/JacobLinCool/the-net/resolve/main/initialization.st
- Command line
-
hf download hf://JacobLinCool/the-net/initialization.st
-
curl -L -o initialization.st https://huggingface.co/JacobLinCool/the-net/resolve/main/initialization.st
8.77 MB
- Xet hash:
- 1af5bc0d42e82463de35b6039c411164ad5188b025a6ebfda5957ae477bce8ce
- Size of remote file:
- 8.77 MB
- SHA256:
- d4d29dea3bfe42eb4de7a144b1afbe4b451a79d6009c80f235843c435db8b0d0
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