Sentence Similarity
Transformers
Safetensors
sentence-transformers
llama
feature-extraction
custom_code
text-embeddings-inference
Instructions to use facebook/drama-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/drama-large with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("facebook/drama-large", trust_remote_code=True) model = AutoModel.from_pretrained("facebook/drama-large", trust_remote_code=True) - sentence-transformers
How to use facebook/drama-large with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("facebook/drama-large", 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
- Xet hash:
- 0768dde05472bdbb3aa9df441a9bb77b31da272aca763461edfb98146b9432f5
- Size of remote file:
- 17.2 MB
- SHA256:
- 6c18e1797510535655f962df0669fcb7d10b325b5d0eb4b51be36789dcf5fcaf
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