Datasets:
Download scripts/vocabcheck.py from Cross-Mergeability/crossarch-accuracy: direct link, hf CLI and curl.
- Browser
- Download file 782 Bytes
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https://huggingface.co/datasets/Cross-Mergeability/crossarch-accuracy/resolve/main/scripts/vocabcheck.py
- Command line
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hf download hf://datasets/Cross-Mergeability/crossarch-accuracy/scripts/vocabcheck.py
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curl -L -o vocabcheck.py https://huggingface.co/datasets/Cross-Mergeability/crossarch-accuracy/resolve/main/scripts/vocabcheck.py
782 Bytes
| from transformers import AutoTokenizer, AutoConfig | |
| for r, s in [("Mergeability/goldfish-en-nld_latn", "average__naive"), | |
| ("Mergeability/pythia-en-zh-14m", "average__naive"), | |
| ("Mergeability/polypythia-14m-s1s2", "average__naive"), | |
| ("Mergeability/codegen-mono-multi", "average__naive")]: | |
| try: | |
| c = AutoConfig.from_pretrained(r, subfolder=s) | |
| t = AutoTokenizer.from_pretrained(r, subfolder=s) | |
| ids = t("Question: what is the capital of France?\nAnswer: Paris", | |
| add_special_tokens=False)["input_ids"] | |
| print(r, "cfg_vocab", c.vocab_size, "tok_len", len(t), "max_id", max(ids), | |
| "OUT_OF_RANGE", max(ids) >= c.vocab_size) | |
| except Exception as e: | |
| print(r, "ERR", repr(e)[:150]) | |