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:
# pip install -U transformers accelerate # 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
Download tokenizer.json from dwzhu/e5-base-4k: direct link, hf CLI and curl.
- Browser
- Download file 711 kB
-
https://huggingface.co/dwzhu/e5-base-4k/resolve/main/tokenizer.json
- Command line
-
hf download hf://dwzhu/e5-base-4k/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/dwzhu/e5-base-4k/resolve/main/tokenizer.json
711 kB
File too large to display, you can check the raw version instead.