Instructions to use Afreen/test1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Afreen/test1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Afreen/test1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Afreen/test1") model = AutoModelForSequenceClassification.from_pretrained("Afreen/test1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ebbc0d6e2a57747d201f60f9e5d9e2534fbdf28d3df25f7ac1a50436825ca0c1
- Size of remote file:
- 268 MB
- SHA256:
- 8b0730c86ebc6c093dc82511bd62cf744a938aba98169c502b3dcc50a2a69fc4
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