Instructions to use samarthshrivas/piper-finetune-Andrew-Huberman with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use samarthshrivas/piper-finetune-Andrew-Huberman with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("samarthshrivas/piper-finetune-Andrew-Huberman", device_map="auto") - Notebooks
- Google Colab
- Kaggle
piper-finetune-Andrew-Huberman / cache /22050 /032c4e7735beab0737fcbaeb4f7b50ba3368a6d9fcdf58901852aab401c9a2be.pt
Download cache/22050/032c4e7735beab0737fcbaeb4f7b50ba3368a6d9fcdf58901852aab401c9a2be.pt from samarthshrivas/piper-finetune-Andrew-Huberman: direct link, hf CLI and curl.
- Browser
- Download file 952 kB
-
https://huggingface.co/samarthshrivas/piper-finetune-Andrew-Huberman/resolve/main/cache/22050/032c4e7735beab0737fcbaeb4f7b50ba3368a6d9fcdf58901852aab401c9a2be.pt
- Command line
-
hf download hf://samarthshrivas/piper-finetune-Andrew-Huberman/cache/22050/032c4e7735beab0737fcbaeb4f7b50ba3368a6d9fcdf58901852aab401c9a2be.pt
-
curl -L -o 032c4e7735beab0737fcbaeb4f7b50ba3368a6d9fcdf58901852aab401c9a2be.pt https://huggingface.co/samarthshrivas/piper-finetune-Andrew-Huberman/resolve/main/cache/22050/032c4e7735beab0737fcbaeb4f7b50ba3368a6d9fcdf58901852aab401c9a2be.pt
952 kB
- Xet hash:
- bfccfb92343e77ffc4e4ac47481e7f848faaa0d5b971c14d7a2bd1bb8767e6ca
- Size of remote file:
- 952 kB
- SHA256:
- 1fe5da0959b64d027464fae8d5fe4b718c9e627420b97c510367fd008b4784c1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.