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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0c62ceedfcd587adae0d2d527c9a55f6448cbe6a375e475b05e06ca2bbc2962a
- Size of remote file:
- 409 MB
- SHA256:
- 2d0a46baefae91e2e921f8889d26204dc9e7345f17e810c719d513234598d1d8
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