Instructions to use hai2131/sailor2-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hai2131/sailor2-test with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, QwenCrossAttentionEncDec tokenizer = AutoTokenizer.from_pretrained("hai2131/sailor2-test") model = QwenCrossAttentionEncDec.from_pretrained("hai2131/sailor2-test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from hai2131/sailor2-test: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/hai2131/sailor2-test/resolve/main/tokenizer.json
- Command line
-
hf download hf://hai2131/sailor2-test/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/hai2131/sailor2-test/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 9af9541f5433831c05c6f8b1b68790b827e1a5e9d79eb2717b3b1998b2b839d4
- Size of remote file:
- 11.4 MB
- SHA256:
- 82bf42f9364aa867b8c9b839e53c829979092b99b8fab5e8dc932d83f965e815
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