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transformers/junnyu/roformer_chinese_base,
converted to Lucid-native safetensors.| Tag | Params | GFLOPs | Size | Source |
|---|---|---|---|---|
CLUECORPUSSMALL (default) | 123.6M | — | 473.23 MB | transformers |
1import lucid
2import lucid.models as models
3from lucid.models.weights import RoformerWeights
4
5# default tag
6model = models.roformer(pretrained=True)
7
8# explicit tag (enum or string)
9model = models.roformer(weights=RoformerWeights.CLUECORPUSSMALL)
10model = models.roformer(pretrained="CLUECORPUSSMALL")
11
12# feed token ids (tokenize with the matching lucid.utils.tokenizer)
13input_ids = lucid.tensor([[101, 7592, 2088, 102]], dtype=lucid.int64)
14out = model(input_ids)
15hidden = out.last_hidden_state # (B, T, hidden_size)transformers/junnyu/roformer_chinese_base via
python -m tools.convert_weights roformer --tag CLUECORPUSSMALL.
Key mapping + numerical parity verified against the source.apache-2.0 — inherited from the original weights.Su et al., "RoFormer: Enhanced Transformer with Rotary Position Embedding", 2021.