Instructions to use ArabicNewsAnalyzer/MARBERTv2-Single-Arabic-Dialect-Final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ArabicNewsAnalyzer/MARBERTv2-Single-Arabic-Dialect-Final with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ArabicNewsAnalyzer/MARBERTv2-Single-Arabic-Dialect-Final")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ArabicNewsAnalyzer/MARBERTv2-Single-Arabic-Dialect-Final") model = AutoModelForSequenceClassification.from_pretrained("ArabicNewsAnalyzer/MARBERTv2-Single-Arabic-Dialect-Final", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 29192fc5443b03470a72e8732cb6c793e81021a13a1e0504eb3f84f47a807baa
- Size of remote file:
- 5.2 kB
- SHA256:
- c0e01f706a6d03d09bca73506e0a16f5cdc84d904346f9a8f6cdfb291ac8566e
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