Instructions to use lefnire/tisuth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lefnire/tisuth with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("lefnire/tisuth") model = AutoModelForSeq2SeqLM.from_pretrained("lefnire/tisuth", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from lefnire/tisuth: direct link, hf CLI and curl.
- Browser
- Download file 648 MB
-
https://huggingface.co/lefnire/tisuth/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://lefnire/tisuth/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/lefnire/tisuth/resolve/main/pytorch_model.bin
648 MB
- Xet hash:
- d742f5559fe037b92b65b5d5661cfbd0f4957a5d7f983fd080961e01be222f6f
- Size of remote file:
- 648 MB
- SHA256:
- 697f2c6b13c8c0e82b98f10e924603622da6fd48184f3997f634ab6c80cf7bec
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