Text Classification
Transformers
PyTorch
TensorBoard
English
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use DunnBC22/distilbert-base-uncased-Regression-Simpsons_Plus_Others with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DunnBC22/distilbert-base-uncased-Regression-Simpsons_Plus_Others with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="DunnBC22/distilbert-base-uncased-Regression-Simpsons_Plus_Others")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("DunnBC22/distilbert-base-uncased-Regression-Simpsons_Plus_Others") model = AutoModelForSequenceClassification.from_pretrained("DunnBC22/distilbert-base-uncased-Regression-Simpsons_Plus_Others") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 24
Browse files
pytorch_model.bin
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runs/Sep29_22-08-41_Brians-Mac-mini.local/events.out.tfevents.1664507326.Brians-Mac-mini.local.2950.0
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