Instructions to use mtzig/reverse_add_replicate_eval20 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mtzig/reverse_add_replicate_eval20 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import NanoGPT model = NanoGPT.from_pretrained("mtzig/reverse_add_replicate_eval20", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from mtzig/reverse_add_replicate_eval20: direct link, hf CLI and curl.
- Browser
- Download file 42.6 MB
-
https://huggingface.co/mtzig/reverse_add_replicate_eval20/resolve/main/model.safetensors
- Command line
-
hf download hf://mtzig/reverse_add_replicate_eval20/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/mtzig/reverse_add_replicate_eval20/resolve/main/model.safetensors
42.6 MB
- Xet hash:
- b48f8eceb3ffdb3f1859c4b9ea430811a1e51e31b3ea5c2f0ead13b925b991ff
- Size of remote file:
- 42.6 MB
- SHA256:
- 3a46cf04c90516a8145e89fd73f4c3d299fe8c6ddbd8b4e0e7586fabffcd90cc
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