Instructions to use hai2131/sailor2-seq2seq-sft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hai2131/sailor2-seq2seq-sft with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hai2131/sailor2-seq2seq-sft", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from hai2131/sailor2-seq2seq-sft: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/hai2131/sailor2-seq2seq-sft/resolve/main/tokenizer.json
- Command line
-
hf download hf://hai2131/sailor2-seq2seq-sft/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/hai2131/sailor2-seq2seq-sft/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- b688614557d32d7baa4f3a4019c165dd0520dc4af258a1e6576f477507fd38b4
- Size of remote file:
- 11.4 MB
- SHA256:
- 83396048d512ec1f3178af0d7c1f79a226bba041822614b0e26a4fd2d4b55bf7
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