Sentence Similarity
sentence-transformers
ONNX
Safetensors
Transformers
Vietnamese
roberta
feature-extraction
phobert
vietnamese
sentence-embedding
Instructions to use dangvantuan/vietnamese-embedding with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use dangvantuan/vietnamese-embedding with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("dangvantuan/vietnamese-embedding") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Transformers
How to use dangvantuan/vietnamese-embedding with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("dangvantuan/vietnamese-embedding") model = AutoModel.from_pretrained("dangvantuan/vietnamese-embedding") - Inference
- Notebooks
- Google Colab
- Kaggle
ONNX version for dangvantuan/vietnamese-embedding
#6
by laituanmanh32 - opened
Hi,
I'm just created onnx version base on your model: https://huggingface.co/laituanmanh32/vietnamese-embedding-onnx
This repo contains onnx compatible configs and model quantized versions.
I just want to notice you with this, thank for your works!
And I'm really welcome if there is any feedback from you. I'm still very new to this community.
Best regards,
Manh