Instructions to use SnurfyAI/is-even with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SnurfyAI/is-even with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SnurfyAI/is-even")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SnurfyAI/is-even") model = AutoModelForSequenceClassification.from_pretrained("SnurfyAI/is-even") - Notebooks
- Google Colab
- Kaggle
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| "model_name": "Is Even", | |
| "model_id": "is-even", | |
| "author": "SnurfyAI", | |
| "device": "cpu", | |
| "dataset_path": "data\\is_even_chatml.jsonl", | |
| "dataset_generated": false, | |
| "dataset_examples": 9960, | |
| "train_examples": 7470, | |
| "validation_examples": 2490, | |
| "epochs": 60, | |
| "batch_size": 64, | |
| "learning_rate": 0.001, | |
| "weight_decay": 0.01, | |
| "layers": 4, | |
| "heads": 4, | |
| "embedding_size": 64, | |
| "seed": 1337, | |
| "best_validation_accuracy": 1.0, | |
| "final_holdout_accuracy": 1.0, | |
| "history": [ | |
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| ] | |
| } |