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-430/training_args.bin from kamizane/FineTuningJsonscheme3B: direct link, hf CLI and curl.
- Browser
- Download file 5.71 kB
-
https://huggingface.co/kamizane/FineTuningJsonscheme3B/resolve/main/checkpoint-430/training_args.bin
- Command line
-
hf download hf://kamizane/FineTuningJsonscheme3B/checkpoint-430/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/kamizane/FineTuningJsonscheme3B/resolve/main/checkpoint-430/training_args.bin
5.71 kB
- Xet hash:
- 7847f9d53ce2f09a07301fb1f49dbf5ff1897d9a283ffb323f716648a71affcb
- Size of remote file:
- 5.71 kB
- SHA256:
- de885d042fc883bdb1746107d1f7f854d09c4109e6e2b887d27994f901abb697
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