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:
- ee7174fecd993f41bdf569de8339af879e21385bd917d074b0a6830a71d5a9b8
- Size of remote file:
- 438 MB
- SHA256:
- c05ad303e24d82c9d52738e08b7906da2a0fdd8d2fdd9fc4a944b92b44684557
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