Instructions to use CodeIsAbstract/HybridModelScratch_lightn_Conti with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CodeIsAbstract/HybridModelScratch_lightn_Conti with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import HybridFourierLM model = HybridFourierLM.from_pretrained("CodeIsAbstract/HybridModelScratch_lightn_Conti", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/optimizer.pt from CodeIsAbstract/HybridModelScratch_lightn_Conti: direct link, hf CLI and curl.
- Browser
- Download file 1.16 GB
-
https://huggingface.co/CodeIsAbstract/HybridModelScratch_lightn_Conti/resolve/main/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://CodeIsAbstract/HybridModelScratch_lightn_Conti/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/CodeIsAbstract/HybridModelScratch_lightn_Conti/resolve/main/last-checkpoint/optimizer.pt
1.16 GB
- Xet hash:
- f2b8ee30a0f4f6ebee0410bc52bf5a29b51fb762722e72d3bd9d3891708f92ff
- Size of remote file:
- 1.16 GB
- SHA256:
- 694364ccca4886052dab7895693a8db8e794f89b0bfe3ae9cc7f08a398332a41
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