Instructions to use Mahmoud8/small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mahmoud8/small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Mahmoud8/small")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Mahmoud8/small") model = AutoModelForSequenceClassification.from_pretrained("Mahmoud8/small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0d44e52f183599f182062ddae110db39b108419dffe9ca0db70113663c94d3e5
- Size of remote file:
- 4.03 kB
- SHA256:
- 319542d038005942dc52c020d5024cab37af7472e7422a372cb4e14d946ecc83
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