Text Classification
Transformers
PyTorch
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use MelikeDulkadir/output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MelikeDulkadir/output with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MelikeDulkadir/output")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MelikeDulkadir/output") model = AutoModelForSequenceClassification.from_pretrained("MelikeDulkadir/output") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fbf5e721233d41a137d03db6898c221e992d696416e1f1da193be3ee66c2c087
- Size of remote file:
- 3.31 kB
- SHA256:
- 7c48c7fc11fbc96dcbddbb250189b44e1acab6c02d59b82ef7b8b30cca2459c2
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