Sentence Similarity
Transformers
PyTorch
Safetensors
Chinese
bert
feature-extraction
text2vec
text-embeddings-inference
Instructions to use GanymedeNil/text2vec-large-chinese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GanymedeNil/text2vec-large-chinese with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("GanymedeNil/text2vec-large-chinese") model = AutoModel.from_pretrained("GanymedeNil/text2vec-large-chinese", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
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README.md
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Based on the derivative model of https://huggingface.co/shibing624/text2vec-base-chinese, replace MacBERT with LERT, and keep other training conditions unchanged。
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Talk to me: https://twitter.com/GanymedeNil
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Based on the derivative model of https://huggingface.co/shibing624/text2vec-base-chinese, replace MacBERT with LERT, and keep other training conditions unchanged。
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Refer to the following items for usage:
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https://github.com/shibing624/text2vec
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Talk to me: https://twitter.com/GanymedeNil
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