Instructions to use transformers-community/custom_generate_example with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use transformers-community/custom_generate_example with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("transformers-community/custom_generate_example", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from transformers-community/custom_generate_example: direct link, hf CLI and curl.
- Browser
- Download file 4.69 kB
-
https://huggingface.co/transformers-community/custom_generate_example/resolve/ec99db5eaf746174deda95f19cc29e142a2d5750/tokenizer_config.json
- Command line
-
hf download hf://transformers-community/custom_generate_example@ec99db5eaf746174deda95f19cc29e142a2d5750/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/transformers-community/custom_generate_example/resolve/ec99db5eaf746174deda95f19cc29e142a2d5750/tokenizer_config.json
4.69 kB
- Xet hash:
- ade777373e61aa089e7bba7034f91399b3797458b28c2699c8e7c591767f418b
- Size of remote file:
- 4.69 kB
- SHA256:
- 0a04a9d7d4a62b28482bdfe726c122756de85714fb64166ace92ae75b8f57614
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.