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Download scripts/sanity_check.py from zeguru/tiny-transformers: direct link, hf CLI and curl.
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- Download file 852 Bytes
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https://huggingface.co/spaces/zeguru/tiny-transformers/resolve/main/scripts/sanity_check.py
- Command line
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hf download hf://spaces/zeguru/tiny-transformers/scripts/sanity_check.py
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curl -L -o sanity_check.py https://huggingface.co/spaces/zeguru/tiny-transformers/resolve/main/scripts/sanity_check.py
852 Bytes
| import torch | |
| from pathlib import Path | |
| from src.infra.tokenizer import CharacterTokenizer | |
| print(f"PyTorch version: {torch.__version__}") | |
| print(f"MPS available: {torch.backends.mps.is_available()}") | |
| print(f"MPS built: {torch.backends.mps.is_built()}") | |
| device = torch.device("mps" if torch.backends.mps.is_available() else "cpu") | |
| print(f"Using device: {device}") | |
| print("Starting Tokenizer Checks....") | |
| TEXT_TOKENIZER_PATH = Path("checkpoints/shakespeare-tokenizer.json") | |
| tokenizer = CharacterTokenizer("hello world") | |
| tokenizer.save(TEXT_TOKENIZER_PATH) | |
| loaded = CharacterTokenizer.load(TEXT_TOKENIZER_PATH) | |
| assert tokenizer.stoi == loaded.stoi | |
| assert tokenizer.itos == loaded.itos | |
| assert tokenizer.vocab_size == loaded.vocab_size | |
| text = "hello world" | |
| assert tokenizer.decode( | |
| loaded.encode(text) | |
| ) == text | |
| print("Tokenizer Checks Complete") | |