Sentence Similarity
sentence-transformers
PyTorch
Transformers
roberta
feature-extraction
vietnamese
Instructions to use keepitreal/vietnamese-sbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use keepitreal/vietnamese-sbert with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("keepitreal/vietnamese-sbert") 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] - Transformers
How to use keepitreal/vietnamese-sbert with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("keepitreal/vietnamese-sbert") model = AutoModelForMultimodalLM.from_pretrained("keepitreal/vietnamese-sbert") - Inference
- Notebooks
- Google Colab
- Kaggle
Fine-tuned dataset
#1
by bui - opened
Hi Hieu,
Can you share or provide more information about the data which you fine-tuned on?
Thanks in advance.
bui changed discussion title from Dataset Pretraining to Fine-tuned dataset
Hi,
I am so sorry for the late reply, I don't notice the notification.
We get datasets from Dat Quoc Nguyen who works at VinAI. His datasets are translated NSI and STS datasets.