Instructions to use MutazYoune/Ara_DialectBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MutazYoune/Ara_DialectBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="MutazYoune/Ara_DialectBERT")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("MutazYoune/Ara_DialectBERT") model = AutoModelForMaskedLM.from_pretrained("MutazYoune/Ara_DialectBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from MutazYoune/Ara_DialectBERT: direct link, hf CLI and curl.
- Browser
- Download file 436 MB
-
https://huggingface.co/MutazYoune/Ara_DialectBERT/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://MutazYoune/Ara_DialectBERT/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/MutazYoune/Ara_DialectBERT/resolve/main/flax_model.msgpack
436 MB
- Xet hash:
- ba7639806bb508871451696136d9ad0ce9d291a110035bf15036b98706b2b345
- Size of remote file:
- 436 MB
- SHA256:
- 07a9213d69e498a65cf37a6b87ec65372ae2b1675dfa568143396cad48402808
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