Sentence Similarity
sentence-transformers
PyTorch
Safetensors
xlm-roberta
feature-extraction
dense
text-embeddings-inference
Instructions to use GreenNode/GreenNode-Embedding-E5-Large-VN-V1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use GreenNode/GreenNode-Embedding-E5-Large-VN-V1 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("GreenNode/GreenNode-Embedding-E5-Large-VN-V1") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from GreenNode/GreenNode-Embedding-E5-Large-VN-V1: direct link, hf CLI and curl.
- Browser
- Download file 8.12 kB
-
https://huggingface.co/GreenNode/GreenNode-Embedding-E5-Large-VN-V1/resolve/main/training_args.bin
- Command line
-
hf download hf://GreenNode/GreenNode-Embedding-E5-Large-VN-V1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/GreenNode/GreenNode-Embedding-E5-Large-VN-V1/resolve/main/training_args.bin
8.12 kB
- Xet hash:
- 9c8a529a1db9b72a8af7517eaf8d4fe7bfe55f9d94db07f7681c8f5e5c22a4a8
- Size of remote file:
- 8.12 kB
- SHA256:
- aaf18a8b092b803d257d246819d4e1a1f4853592900737570d56ca5588646f84
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