Text Classification
Transformers
PyTorch
distilbert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use Kayvane/distilbert-base-uncased-wandb-week-3-complaints-classifier-1024 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kayvane/distilbert-base-uncased-wandb-week-3-complaints-classifier-1024 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Kayvane/distilbert-base-uncased-wandb-week-3-complaints-classifier-1024")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Kayvane/distilbert-base-uncased-wandb-week-3-complaints-classifier-1024") model = AutoModelForSequenceClassification.from_pretrained("Kayvane/distilbert-base-uncased-wandb-week-3-complaints-classifier-1024") - Notebooks
- Google Colab
- Kaggle
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