Instructions to use peihsin/sqlfinal_combine_ch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use peihsin/sqlfinal_combine_ch with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="peihsin/sqlfinal_combine_ch")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("peihsin/sqlfinal_combine_ch") model = AutoModel.from_pretrained("peihsin/sqlfinal_combine_ch") - Notebooks
- Google Colab
- Kaggle
pipeline_tag: sentence-similarity license: apache-2.0 tags:
- text2vec
- feature-extraction
- sentence-similarity
- transformers datasets:
- shibing624/nli_zh language:
- zh metrics:
- bleu library_name: transformers
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