Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use Emil7018/classifier-chapter4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Emil7018/classifier-chapter4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Emil7018/classifier-chapter4")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Emil7018/classifier-chapter4") model = AutoModelForSequenceClassification.from_pretrained("Emil7018/classifier-chapter4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.9136842105263158, | |
| "eval_f1": 0.913706861891657, | |
| "eval_loss": 0.2539348006248474, | |
| "eval_runtime": 24.0466, | |
| "eval_samples_per_second": 316.053, | |
| "eval_steps_per_second": 9.897 | |
| } |