Instructions to use kamizane/FineTuningJsonscheme3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kamizane/FineTuningJsonscheme3B with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("kamizane/FineTuningJsonscheme3B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-310/scheduler.pt from kamizane/FineTuningJsonscheme3B: direct link, hf CLI and curl.
- Browser
- Download file 1.47 kB
-
https://huggingface.co/kamizane/FineTuningJsonscheme3B/resolve/main/checkpoint-310/scheduler.pt
- Command line
-
hf download hf://kamizane/FineTuningJsonscheme3B/checkpoint-310/scheduler.pt
-
curl -L -o scheduler.pt https://huggingface.co/kamizane/FineTuningJsonscheme3B/resolve/main/checkpoint-310/scheduler.pt
1.47 kB
- Xet hash:
- 428d141944050f4730d24862d097b9cc0d03f8bb9197b6971a32e64b6e201f3a
- Size of remote file:
- 1.47 kB
- SHA256:
- 72e2dcef84dc713d818dac589df9af029bd0b21be806b9670cb6bae59091134c
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