Instructions to use CO-IR/knight-errant-TST-zh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CO-IR/knight-errant-TST-zh with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("CO-IR/knight-errant-TST-zh") model = AutoModelForSeq2SeqLM.from_pretrained("CO-IR/knight-errant-TST-zh", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from CO-IR/knight-errant-TST-zh: direct link, hf CLI and curl.
- Browser
- Download file 2.44 GB
-
https://huggingface.co/CO-IR/knight-errant-TST-zh/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://CO-IR/knight-errant-TST-zh/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/CO-IR/knight-errant-TST-zh/resolve/main/pytorch_model.bin
2.44 GB
- Xet hash:
- a40b1707e63c2fdf347d72413bb5696101da96fe730761832c860116df27e3f8
- Size of remote file:
- 2.44 GB
- SHA256:
- 9ee3bbe75ceb5abdc64f22a1183ac4e30f6e9feaffdb1360e5db7265b3c5f85f
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