Instructions to use CodeIsAbstract/HybridModelScratch_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CodeIsAbstract/HybridModelScratch_2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import HybridFourierLM model = HybridFourierLM.from_pretrained("CodeIsAbstract/HybridModelScratch_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/optimizer.pt from CodeIsAbstract/HybridModelScratch_2: direct link, hf CLI and curl.
- Browser
- Download file 1.16 GB
-
https://huggingface.co/CodeIsAbstract/HybridModelScratch_2/resolve/eacaaa2bd634780f13df87791812ca3bc0279842/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://CodeIsAbstract/HybridModelScratch_2@eacaaa2bd634780f13df87791812ca3bc0279842/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/CodeIsAbstract/HybridModelScratch_2/resolve/eacaaa2bd634780f13df87791812ca3bc0279842/last-checkpoint/optimizer.pt
1.16 GB
- Xet hash:
- 8597cfcdffb7edc752fb748a40a448841d7c7e42a0c467c5ea404e683974f66c
- Size of remote file:
- 1.16 GB
- SHA256:
- 2518af05d741accc73f1a505524ce249c33241014d55c9eea9f6b9eb85600988
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