Sentence Similarity
Transformers
PyTorch
English
bert
feature-extraction
mteb
Eval Results (legacy)
text-embeddings-inference
Instructions to use dwzhu/e5-base-4k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dwzhu/e5-base-4k with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("dwzhu/e5-base-4k") model = AutoModel.from_pretrained("dwzhu/e5-base-4k") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b3d21a7356431f45a897d22cbb116c5862c4fc3661fd1f3c748ef0eba4168a15
- Size of remote file:
- 225 MB
- SHA256:
- 13a4cd401ba85969b4e7cdd5d260629e034b9bdc1b9db997ae0669e8c53f7da3
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