Sentence Similarity
Transformers
PyTorch
Chinese
bert
feature-extraction
text2vec
text-embeddings-inference
Instructions to use GanymedeNil/text2vec-base-chinese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GanymedeNil/text2vec-base-chinese with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("GanymedeNil/text2vec-base-chinese") model = AutoModel.from_pretrained("GanymedeNil/text2vec-base-chinese") - Inference
- Notebooks
- Google Colab
- Kaggle
| 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-base-chinese](https://huggingface.co/GanymedeNil/text2vec-base-chinese-onnx) onnxruntime version. |