Instructions to use lbgan/test_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lbgan/test_model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("lbgan/test_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer.json from lbgan/test_model: direct link, hf CLI and curl.
- Browser
- Download file 33.4 MB
-
https://huggingface.co/lbgan/test_model/resolve/main/tokenizer.json
- Command line
-
hf download hf://lbgan/test_model/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/lbgan/test_model/resolve/main/tokenizer.json
33.4 MB
- Xet hash:
- eb19636b8420a6402884088859f4efd5af9602ea0dd362171d630136094edaa5
- Size of remote file:
- 33.4 MB
- SHA256:
- df7fd72d46c93b706f17d8319ff6313a8e35b7d65efd81796efb5476d9e28581
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