Instructions to use Zahra99/pure-python with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Zahra99/pure-python with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Zahra99/pure-python")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Zahra99/pure-python") model = AutoModelForSequenceClassification.from_pretrained("Zahra99/pure-python") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a2274810acf5be19061bd3577011c40387c23b0d101843955d38477c0c277395
- Size of remote file:
- 438 MB
- SHA256:
- 572082d0fc1502d12c4d8a6836bf8ad11efd44c16f967e0785fc3caa8cca6448
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