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-340/optimizer.pt from kamizane/FineTuningJsonscheme3B: direct link, hf CLI and curl.
- Browser
- Download file 99.2 MB
-
https://huggingface.co/kamizane/FineTuningJsonscheme3B/resolve/main/checkpoint-340/optimizer.pt
- Command line
-
hf download hf://kamizane/FineTuningJsonscheme3B/checkpoint-340/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/kamizane/FineTuningJsonscheme3B/resolve/main/checkpoint-340/optimizer.pt
99.2 MB
- Xet hash:
- 2b424be0f6552c5a5fb641317ea5a0fa33378d9f711ff24eebd12d291d238fb4
- Size of remote file:
- 99.2 MB
- SHA256:
- 7957e1fdf823f36eb46c909acbfbbd75f1af1ac8018f4772cc474c977e6d3619
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