Feature Extraction
Transformers
PyTorch
TensorFlow
JAX
Arabic
English
bert
text-embeddings-inference
Instructions to use MhmdSyd/Embedding-Arabic-English with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MhmdSyd/Embedding-Arabic-English with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="MhmdSyd/Embedding-Arabic-English")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("MhmdSyd/Embedding-Arabic-English") model = AutoModel.from_pretrained("MhmdSyd/Embedding-Arabic-English", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from MhmdSyd/Embedding-Arabic-English: direct link, hf CLI and curl.
- Browser
- Download file 1.25 MB
-
https://huggingface.co/MhmdSyd/Embedding-Arabic-English/resolve/main/tokenizer.json
- Command line
-
hf download hf://MhmdSyd/Embedding-Arabic-English/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/MhmdSyd/Embedding-Arabic-English/resolve/main/tokenizer.json
1.25 MB
File too large to display, you can check the raw version instead.