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:
# 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) - 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
File size: 349 Bytes
1d0338c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | [
{
"idx": 0,
"name": "0",
"path": "",
"type": "sentence_transformers.models.Transformer"
},
{
"idx": 1,
"name": "1",
"path": "1_Pooling",
"type": "sentence_transformers.models.Pooling"
},
{
"idx": 2,
"name": "2",
"path": "2_Normalize",
"type": "sentence_transformers.models.Normalize"
}
] |