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/tokenizer.json from kamizane/FineTuningJsonscheme3B: direct link, hf CLI and curl.
- Browser
- Download file 17.2 MB
-
https://huggingface.co/kamizane/FineTuningJsonscheme3B/resolve/main/checkpoint-430/tokenizer.json
- Command line
-
hf download hf://kamizane/FineTuningJsonscheme3B/checkpoint-430/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/kamizane/FineTuningJsonscheme3B/resolve/main/checkpoint-430/tokenizer.json
17.2 MB
- Xet hash:
- f2287fe5fe744fb3b94f9cad38bad2624b3bc76c735ef50d9133c4de0faf7b06
- Size of remote file:
- 17.2 MB
- SHA256:
- 0ad537f502cb4887e79ec677aadf59fc5601551711efcda3826ad17d4541e422
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