Feature Extraction
Transformers
Safetensors
Algerian Arabic
dzair
algerian-darija
arabizi
arabic
encoder
replaced-token-detection
low-resource
custom_code
Eval Results (legacy)
Instructions to use algerian-nlp/DZAIR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use algerian-nlp/DZAIR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="algerian-nlp/DZAIR", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("algerian-nlp/DZAIR", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.model from algerian-nlp/DZAIR: direct link, hf CLI and curl.
- Browser
- Download file 968 kB
-
https://huggingface.co/algerian-nlp/DZAIR/resolve/main/tokenizer.model
- Command line
-
hf download hf://algerian-nlp/DZAIR/tokenizer.model
-
curl -L -o tokenizer.model https://huggingface.co/algerian-nlp/DZAIR/resolve/main/tokenizer.model
968 kB
- Xet hash:
- ae2e60c22e36aee939bc288368c0441668be376b4afc8cfc3bc36843eff69e0c
- Size of remote file:
- 968 kB
- SHA256:
- 6d50d8c119d0e9e15e548a473269a1e8e24609682e0e7243432a0a31de7897e6
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