Sentence Similarity
sentence-transformers
PyTorch
Transformers
Indonesian
bert
feature-extraction
text-embeddings-inference
Instructions to use firqaaa/indo-sentence-bert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use firqaaa/indo-sentence-bert-base with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("firqaaa/indo-sentence-bert-base") 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 firqaaa/indo-sentence-bert-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("firqaaa/indo-sentence-bert-base") model = AutoModel.from_pretrained("firqaaa/indo-sentence-bert-base") - Inference
- Notebooks
- Google Colab
- Kaggle
Datasets source
#1
by dafqi - opened
Hi there! I'm curious about the datasets used to train this model. Unfortunately, I couldn't find any information about the source dataset in the model's documentation or description. I even checked the discussion section and related journals, but didn't come across any relevant details. I'd appreciate any help you can offer. Thank you so much!