Feature Extraction
sentence-transformers
Safetensors
Arabic
eurobert
loss:MatryoshkaLoss
loss:MultipleNegativesRankingLoss
EuroBert
Arabic
custom_code
Eval Results (legacy)
Instructions to use Omartificial-Intelligence-Space/AraEuroBert-210M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Omartificial-Intelligence-Space/AraEuroBert-210M with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Omartificial-Intelligence-Space/AraEuroBert-210M", trust_remote_code=True) sentences = [ "امرأة شقراء تطل على مشهد (سياتل سبيس نيدل)", "رجل يستمتع بمناظر جسر البوابة الذهبية", "فتاة بالخارج تلعب في الثلج", "شخص ما يأخذ في نظرة إبرة الفضاء." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
| { | |
| "_name_or_path": "EuroBERT/EuroBERT-210m", | |
| "architectures": [ | |
| "EuroBertModel" | |
| ], | |
| "attention_bias": false, | |
| "attention_dropout": 0.0, | |
| "auto_map": { | |
| "AutoConfig": "configuration_eurobert.EuroBertConfig", | |
| "AutoModel": "EuroBERT/EuroBERT-210m--modeling_eurobert.EuroBertModel", | |
| "AutoModelForMaskedLM": "EuroBERT/EuroBERT-210m--modeling_eurobert.EuroBertForMaskedLM", | |
| "AutoModelForPreTraining": "EuroBERT/EuroBERT-210m--modeling_eurobert.EuroBertPreTrainedModel", | |
| "AutoModelForSequenceClassification": "EuroBERT/EuroBERT-210m--modeling_eurobert.EuroBertForSequenceClassification" | |
| }, | |
| "bos_token": "<|begin_of_text|>", | |
| "bos_token_id": 128000, | |
| "clf_pooling": "late", | |
| "eos_token": "<|end_of_text|>", | |
| "eos_token_id": 128001, | |
| "head_dim": 64, | |
| "hidden_act": "silu", | |
| "hidden_dropout": 0.0, | |
| "hidden_size": 768, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 3072, | |
| "mask_token": "<|mask|>", | |
| "mask_token_id": 128002, | |
| "max_position_embeddings": 8192, | |
| "mlp_bias": false, | |
| "model_type": "eurobert", | |
| "num_attention_heads": 12, | |
| "num_hidden_layers": 12, | |
| "num_key_value_heads": 12, | |
| "pad_token": "<|end_of_text|>", | |
| "pad_token_id": 128001, | |
| "pretraining_tp": 1, | |
| "rms_norm_eps": 1e-05, | |
| "rope_scaling": null, | |
| "rope_theta": 250000, | |
| "tie_word_embeddings": false, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.48.0", | |
| "use_cache": false, | |
| "vocab_size": 128256 | |
| } | |