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
File size: 928 Bytes
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"_name_or_path": "drama-1b",
"architectures": [
"DramaModel"
],
"auto_map": {
"AutoModel": "modeling_drama.DramaModel"
},
"attention_bias": false,
"attention_dropout": 0.0,
"bos_token_id": 128000,
"eos_token_id": 128001,
"head_dim": 64,
"hidden_act": "silu",
"hidden_size": 2048,
"initializer_range": 0.02,
"intermediate_size": 8192,
"max_position_embeddings": 131072,
"mlp_bias": false,
"model_type": "llama",
"num_attention_heads": 32,
"num_hidden_layers": 16,
"num_key_value_heads": 8,
"pretraining_tp": 1,
"rms_norm_eps": 1e-05,
"rope_scaling": {
"factor": 32.0,
"high_freq_factor": 4.0,
"low_freq_factor": 1.0,
"original_max_position_embeddings": 8192,
"rope_type": "llama3"
},
"rope_theta": 500000.0,
"tie_word_embeddings": true,
"torch_dtype": "float32",
"transformers_version": "4.45.0",
"use_cache": true,
"vocab_size": 128256
}
|