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
Remove `sentence-transformers` tags
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by tomaarsen HF Staff - opened
README.md
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tags:
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- mteb
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- Sentence Transformers
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- sentence-similarity
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- sentence-transformers
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model-index:
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- name: e5-base-4k
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results:
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---
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tags:
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- mteb
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- sentence-similarity
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model-index:
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- name: e5-base-4k
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results:
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