Text Classification
Transformers
PyTorch
TensorFlow
TensorBoard
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use TirkNork/sentence_classfication_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TirkNork/sentence_classfication_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="TirkNork/sentence_classfication_test")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("TirkNork/sentence_classfication_test") model = AutoModelForSequenceClassification.from_pretrained("TirkNork/sentence_classfication_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 4
Browse files
pytorch_model.bin
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runs/May18_09-47-19_9b79bd7a7b13/events.out.tfevents.1684403370.9b79bd7a7b13.2697.0
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