Instructions to use msteininger/eitan-gpt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use msteininger/eitan-gpt with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("msteininger/eitan-gpt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer.json from msteininger/eitan-gpt: direct link, hf CLI and curl.
- Browser
- Download file 17.1 MB
-
https://huggingface.co/msteininger/eitan-gpt/resolve/main/tokenizer.json
- Command line
-
hf download hf://msteininger/eitan-gpt/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/msteininger/eitan-gpt/resolve/main/tokenizer.json
17.1 MB
- Xet hash:
- 426dc1cdd22a5e439997e59147fc41befd6db4709e13d2d17da09fbf90e3a77e
- Size of remote file:
- 17.1 MB
- SHA256:
- d7edbeaf20dd7f571b5dd1c54d9ace4f9b6299127cc7ba2afb14a6d51a4a79a4
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