Instructions to use peihsin/sql_chinese_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use peihsin/sql_chinese_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="peihsin/sql_chinese_2")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("peihsin/sql_chinese_2") model = AutoModel.from_pretrained("peihsin/sql_chinese_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 928cdd02749f6bb482ade3486767480d21ce3ea7ae1ebf5da83712b2822c9fb7
- Size of remote file:
- 409 MB
- SHA256:
- 2d48744394b4aa3897b6df3f9a8dac0cc8a8d0b8fb830b1e21fe9a97ea9462a0
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