Instructions to use mtzig/reverse_add_replicate_eval30_small_nl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mtzig/reverse_add_replicate_eval30_small_nl with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import NanoGPT model = NanoGPT.from_pretrained("mtzig/reverse_add_replicate_eval30_small_nl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from mtzig/reverse_add_replicate_eval30_small_nl: direct link, hf CLI and curl.
- Browser
- Download file 1.06 kB
-
https://huggingface.co/mtzig/reverse_add_replicate_eval30_small_nl/resolve/main/model.safetensors
- Command line
-
hf download hf://mtzig/reverse_add_replicate_eval30_small_nl/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/mtzig/reverse_add_replicate_eval30_small_nl/resolve/main/model.safetensors
1.06 kB
- Xet hash:
- de7a3c58f9100dde4d30cab0a8a0959a2019e3fc8d8d91019d97aac8e05e3063
- Size of remote file:
- 1.06 kB
- SHA256:
- 953f7eefa5631567310a53d989c44676a0ef123cf98eaec3ffa1270a7bf6abfb
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.