# Load model directly
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("peihsin/sqlfinal_combine_ch")
model = AutoModel.from_pretrained("peihsin/sqlfinal_combine_ch")Quick Links
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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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="peihsin/sqlfinal_combine_ch")