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 ·
62cdf08
1
Parent(s): 2bc5e70
Training in progress, epoch 2
Browse files
pytorch_model.bin
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