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Download train.py from tmmdev/pattern-analysis: direct link, hf CLI and curl.
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https://huggingface.co/spaces/tmmdev/pattern-analysis/resolve/5913c8f4aa011bfcbb3ccbb13e50c3fc7c14a31d/train.py
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hf download hf://spaces/tmmdev/pattern-analysis@5913c8f4aa011bfcbb3ccbb13e50c3fc7c14a31d/train.py
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curl -L -o train.py https://huggingface.co/spaces/tmmdev/pattern-analysis/resolve/5913c8f4aa011bfcbb3ccbb13e50c3fc7c14a31d/train.py
697 Bytes
| from transformers import Trainer, TrainingArguments | |
| from datasets import Dataset | |
| def prepare_training_data(): | |
| # Training data structure | |
| return { | |
| 'pattern_type': ['channel', 'triangle'], | |
| 'chart_code': ['// Channel code', '// Triangle code'] | |
| } | |
| def train_model(): | |
| # Create dataset | |
| data = prepare_training_data() | |
| dataset = Dataset.from_dict(data) | |
| training_args = TrainingArguments( | |
| output_dir="./results", | |
| num_train_epochs=3, | |
| per_device_train_batch_size=8, | |
| save_steps=500, | |
| ) | |
| trainer = Trainer( | |
| model=model, | |
| args=training_args, | |
| train_dataset=dataset, | |
| ) | |
| trainer.train() | |