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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 53e7f9ab7ff5c28c725ca25eee70d2e42921ac2501c2b5c4dfb2efd732fee0ec
- Size of remote file:
- 1.3 GB
- SHA256:
- eaf5cb71c0eeab7db3c5171da504e5867b3f67a78e07bdba9b52d334ae35adb3
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