Instructions to use Monda/task1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Monda/task1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Monda/task1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Monda/task1") model = AutoModelForSequenceClassification.from_pretrained("Monda/task1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "eval_loss": 0.7399805784225464, | |
| "eval_accuracy": 0.6510840108401084, | |
| "eval_macro_f1": 0.6366338097982895, | |
| "eval_weighted_f1": 0.6518976741910543, | |
| "eval_runtime": 9.6977, | |
| "eval_samples_per_second": 152.201, | |
| "eval_steps_per_second": 4.847, | |
| "epoch": 10.0 | |
| } |