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
- Xet hash:
- e0186e4b075a56a8d637a23e774d5b8bf0c192b49eadac380a874c75b5de8388
- Size of remote file:
- 1.3 GB
- SHA256:
- 5883cb940ac5509b75e9fe23a9aea62694045849dc8c8c2da2894861a045d7f5
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