Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use Arielkanevsky/Complaints_Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Arielkanevsky/Complaints_Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Arielkanevsky/Complaints_Classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Arielkanevsky/Complaints_Classifier") model = AutoModelForSequenceClassification.from_pretrained("Arielkanevsky/Complaints_Classifier") - Notebooks
- Google Colab
- Kaggle
Commit ·
1c2f946
1
Parent(s): 62cdf08
End of training
Browse files
runs/Jun27_02-00-45_df9215bbc6e6/events.out.tfevents.1687831316.df9215bbc6e6.215.0
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