Instructions to use ArabicNewsAnalyzer/checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ArabicNewsAnalyzer/checkpoints with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ArabicNewsAnalyzer/checkpoints")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ArabicNewsAnalyzer/checkpoints") model = AutoModelForSequenceClassification.from_pretrained("ArabicNewsAnalyzer/checkpoints", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8bc16528801f27b4dcf14cd3857bbf5e0d81c73d30107a604cd8c38240982f0b
- Size of remote file:
- 5.27 kB
- SHA256:
- ff9f61d25f86f77c1ae942b6812618cad3aab3f5d4b34880b9fd2a2b6e72661e
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