Sentence Similarity
Transformers
PyTorch
English
bert
feature-extraction
custom_code
text-embeddings-inference
Instructions to use efederici/e5-large-v2-4096 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use efederici/e5-large-v2-4096 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("efederici/e5-large-v2-4096", trust_remote_code=True) model = AutoModel.from_pretrained("efederici/e5-large-v2-4096", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from efederici/e5-large-v2-4096: direct link, hf CLI and curl.
- Browser
- Download file 1.36 GB
-
https://huggingface.co/efederici/e5-large-v2-4096/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://efederici/e5-large-v2-4096/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/efederici/e5-large-v2-4096/resolve/main/pytorch_model.bin
1.36 GB
- Xet hash:
- 65f147f0663b239fb92b379961a43598defacd00d25ca678fda7d20fe379705c
- Size of remote file:
- 1.36 GB
- SHA256:
- 6819d30c12866778a97eb993e5ec167555deaaac0237018c4146750c09beb4c5
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