Instructions to use mtzig/reverse_add_replicate_eval17_small_1layer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mtzig/reverse_add_replicate_eval17_small_1layer with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import NanoGPT model = NanoGPT.from_pretrained("mtzig/reverse_add_replicate_eval17_small_1layer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from mtzig/reverse_add_replicate_eval17_small_1layer: direct link, hf CLI and curl.
- Browser
- Download file 5.87 kB
-
https://huggingface.co/mtzig/reverse_add_replicate_eval17_small_1layer/resolve/main/model.safetensors
- Command line
-
hf download hf://mtzig/reverse_add_replicate_eval17_small_1layer/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/mtzig/reverse_add_replicate_eval17_small_1layer/resolve/main/model.safetensors
5.87 kB
- Xet hash:
- 7434009eb2deb73f6969abc973b28455ea6b4eb7ddf38d2fbd7fd6ba5e54d5da
- Size of remote file:
- 5.87 kB
- SHA256:
- 363e4d5b0ada5bd38d07c5ad120605bcf7b153b36a1094e4515a90ed6411bcc7
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