Instructions to use CYONG/distilbert-base-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CYONG/distilbert-base-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="CYONG/distilbert-base-uncased")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("CYONG/distilbert-base-uncased") model = AutoModelForSequenceClassification.from_pretrained("CYONG/distilbert-base-uncased") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 2
Browse files
pytorch_model.bin
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runs/Jul06_13-22-29_tuatai3-System-Product-Name/events.out.tfevents.1688617355.tuatai3-System-Product-Name.388217.0
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