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", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#4
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:6d3cbf9f464659acefd2aaf4232c300265d248cc781fbc2df5040911f3928590
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size 224491768
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