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 .gitattributes from JacobLinCool/the-net: direct link, hf CLI and curl.
- Browser
- Download file 103 Bytes
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https://huggingface.co/JacobLinCool/the-net/resolve/main/.gitattributes
- Command line
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hf download hf://JacobLinCool/the-net/.gitattributes
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curl -L -o .gitattributes https://huggingface.co/JacobLinCool/the-net/resolve/main/.gitattributes
103 Bytes
| * text=auto | |
| *.safetensors filter=lfs diff=lfs merge=lfs -text | |
| *.st filter=lfs diff=lfs merge=lfs -text | |