Sentence Similarity
Transformers
Safetensors
sentence-transformers
llama
image-feature-extraction
custom_code
text-embeddings-inference
Instructions to use facebook/drama-1b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/drama-1b with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("facebook/drama-1b", trust_remote_code=True) model = AutoModel.from_pretrained("facebook/drama-1b", trust_remote_code=True) - sentence-transformers
How to use facebook/drama-1b with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("facebook/drama-1b", 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:
- 32117759c613d2fbf1dc5930e9892b74f111f69d814770703ca2bbe49a5a8d3e
- Size of remote file:
- 4.94 GB
- SHA256:
- d339d3f6b9efd0f0706bc79c1fed1b492987beb88e403e04ab3d641d7c200787
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