Sentence Similarity
Transformers
PyTorch
Safetensors
Chinese
bert
feature-extraction
text2vec
text-embeddings-inference
Instructions to use MonkeeZhang/text2vec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MonkeeZhang/text2vec with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("MonkeeZhang/text2vec") model = AutoModel.from_pretrained("MonkeeZhang/text2vec", device_map="auto") - 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。 | |
| Refer to the following items for usage: | |
| https://github.com/shibing624/text2vec | |
| Talk to me: https://twitter.com/GanymedeNil |