Sentence Similarity
Transformers
PyTorch
Safetensors
Chinese
bert
feature-extraction
text2vec
text-embeddings-inference
Instructions to use gecom/text2vec-large-chinese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gecom/text2vec-large-chinese with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("gecom/text2vec-large-chinese") model = AutoModel.from_pretrained("gecom/text2vec-large-chinese") - Notebooks
- Google Colab
- Kaggle
File size: 490 Bytes
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license: apache-2.0
language:
- zh
pipeline_tag: sentence-similarity
tags:
- text2vec
- feature-extraction
- sentence-similarity
- transformers
---
Based on the derivative model of https://huggingface.co/shibing624/text2vec-base-chinese, replace MacBERT with LERT, and keep other training conditions unchanged。
News
2024-06-25 [text2vec-large-chinese](https://huggingface.co/GanymedeNil/text2vec-large-chinese-onnx) onnxruntime version.
Talk to me: https://twitter.com/GanymedeNil |