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, 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
File size: 231 Bytes
1d0338c | 1 2 3 4 5 6 7 8 9 10 11 12 | {
"__version__": {
"sentence_transformers": "3.4.0",
"transformers": "4.48.3",
"pytorch": "2.5.0+cu121"
},
"prompts": {
"query": "Query: "
},
"default_prompt_name": null,
"similarity_fn_name": "cosine"
} |