Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use casonshep/text_classification_yahoo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use casonshep/text_classification_yahoo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="casonshep/text_classification_yahoo")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("casonshep/text_classification_yahoo") model = AutoModelForSequenceClassification.from_pretrained("casonshep/text_classification_yahoo") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 2
Browse files
pytorch_model.bin
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runs/Aug04_17-20-52_3af619c66572/events.out.tfevents.1691169663.3af619c66572.1773.0
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