Sentence Similarity
Transformers
Safetensors
sentence-transformers
llama
custom_code
text-embeddings-inference
Instructions to use facebook/drama-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/drama-base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("facebook/drama-base", trust_remote_code=True) model = AutoModel.from_pretrained("facebook/drama-base", trust_remote_code=True, device_map="auto") - sentence-transformers
How to use facebook/drama-base with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("facebook/drama-base", trust_remote_code=True) sentences = [ "هذا شخص سعيد", "هذا كلب سعيد", "هذا شخص سعيد جدا", "اليوم هو يوم مشمس" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Commit History
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Integrate Sentence Transformers, prevent manual tokenizer EOS (#1)
Verified signature- Integrate Sentence Transformers, prevent manual tokenizer EOS (5d112dc6f42dce605d011524f127b9a0841dc101) - Fix accidental "." model_name (e13f30852b9b2a795c4fb08b093d3f7a94989668)1d0338c
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Initial commit
2d79e15