Instructions to use Mahmoud8/distilbert-base-uncased13 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mahmoud8/distilbert-base-uncased13 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Mahmoud8/distilbert-base-uncased13")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Mahmoud8/distilbert-base-uncased13") model = AutoModelForSequenceClassification.from_pretrained("Mahmoud8/distilbert-base-uncased13") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 6
Browse files
pytorch_model.bin
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runs/Oct20_14-53-36_35d2c970ea7a/events.out.tfevents.1697813620.35d2c970ea7a.32.8
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