Instructions to use bappaiitj/mlops-assignment3_final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bappaiitj/mlops-assignment3_final with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bappaiitj/mlops-assignment3_final")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("bappaiitj/mlops-assignment3_final") model = AutoModelForSequenceClassification.from_pretrained("bappaiitj/mlops-assignment3_final") - Notebooks
- Google Colab
- Kaggle
File size: 193 Bytes
0eba6bb | 1 2 3 4 5 6 7 8 | {
"train_runtime": 168.4535,
"train_samples_per_second": 113.978,
"train_steps_per_second": 14.247,
"total_flos": 635911549747200.0,
"train_loss": 1.1017762994766236,
"epoch": 3.0
} |