Transformers
English
time-series
time-series-language-model
latent-reasoning
reasoning
ecg
sleep-staging
human-activity-recognition
llama-3.2
qwen3
Instructions to use leochen085/Lapras with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use leochen085/Lapras with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("leochen085/Lapras", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download slip/lapras_engine/tokenizer.json from leochen085/Lapras: direct link, hf CLI and curl.
- Browser
- Download file 17.2 MB
-
https://huggingface.co/leochen085/Lapras/resolve/main/slip/lapras_engine/tokenizer.json
- Command line
-
hf download hf://leochen085/Lapras/slip/lapras_engine/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/leochen085/Lapras/resolve/main/slip/lapras_engine/tokenizer.json
17.2 MB
- Xet hash:
- 749e7c04ad39513773f9f6914631bd274b8f697aeb0806c8300129cc5c9b3ab0
- Size of remote file:
- 17.2 MB
- SHA256:
- 605631dc602cc6dc23799155a11da83b917f12c2c48a3f8c4416543ecd2fce25
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