Feature Extraction
Transformers
Safetensors
Arabic
embedding_gemma2
arabic
ocr
document-ai
word-matching
multimodal-embedding
embeddinggemma
Instructions to use g3ida/ArabicWordsEmbedding with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use g3ida/ArabicWordsEmbedding with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="g3ida/ArabicWordsEmbedding")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("g3ida/ArabicWordsEmbedding") model = AutoModel.from_pretrained("g3ida/ArabicWordsEmbedding", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 97 Bytes
e7a8573 | 1 2 3 4 | {
"module_input_name": "sentence_embedding",
"module_output_name": "sentence_embedding"
} |