Instructions to use mtzig/reverse_add_replicate_eval17_corrupted with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mtzig/reverse_add_replicate_eval17_corrupted with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import NanoGPT model = NanoGPT.from_pretrained("mtzig/reverse_add_replicate_eval17_corrupted", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from mtzig/reverse_add_replicate_eval17_corrupted: direct link, hf CLI and curl.
- Browser
- Download file 42.6 MB
-
https://huggingface.co/mtzig/reverse_add_replicate_eval17_corrupted/resolve/main/model.safetensors
- Command line
-
hf download hf://mtzig/reverse_add_replicate_eval17_corrupted/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/mtzig/reverse_add_replicate_eval17_corrupted/resolve/main/model.safetensors
42.6 MB
- Xet hash:
- 3f3530bab55e4abff7af38353bb73da81cc44937d711d9b88f59e7bf5912310e
- Size of remote file:
- 42.6 MB
- SHA256:
- 3cff9f0d5f9c316da403574d0d6cc0996a29df9e4a951faa2161b0a6a4b15658
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.