Feature Extraction
sentence-transformers
Safetensors
Vietnamese
English
bert
sentence-similarity
qdrant
vietnamese
tourist-notebook
text-embeddings-inference
Instructions to use lmtri0312/tramy-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use lmtri0312/tramy-encoder with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("lmtri0312/tramy-encoder") 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] - Notebooks
- Google Colab
- Kaggle
Commit History
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Update tokenizer_config.json
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Fix tokenizer_class to PreTrainedTokenizerFast
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Update 1_Pooling/config.json
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Fix 1_Pooling/config.json parameters
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Fix sentence_bert_config.json kwargs
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Fix module import paths to sentence_transformers.models
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Update fine-tuned tramy-encoder
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Add new SentenceTransformer model
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initial commit
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