Instructions to use mtzig/reverse_add_replicate_eval17_dim10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mtzig/reverse_add_replicate_eval17_dim10 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import NanoGPT model = NanoGPT.from_pretrained("mtzig/reverse_add_replicate_eval17_dim10", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from mtzig/reverse_add_replicate_eval17_dim10: direct link, hf CLI and curl.
- Browser
- Download file 7.96 kB
-
https://huggingface.co/mtzig/reverse_add_replicate_eval17_dim10/resolve/main/model.safetensors
- Command line
-
hf download hf://mtzig/reverse_add_replicate_eval17_dim10/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/mtzig/reverse_add_replicate_eval17_dim10/resolve/main/model.safetensors
7.96 kB
- Xet hash:
- 3a65f1dccce01369d80e09660bbeee88379a528250cf00c670b0320570445c37
- Size of remote file:
- 7.96 kB
- SHA256:
- 658d76f29c0bb315dc78a8e55526872686768246b5d6d7d40d31ba38302cc36b
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