lucid-dl/gpt2-xlarge
0
GPT-2 XL
https://cdn.openai.com/better-language-models/languagemodelsareunsupervisedmultitask_learners.pdf
Lucid port of transformers/gpt2-xl, converted to Lucid-native safetensors.
Available weights
Usage
import lucid
import lucid.models as models
from lucid.models.weights import GPT2XLargeWeights
# default tag
model = models.gpt2_xlarge(pretrained=True)
# explicit tag (enum or string)
model = models.gpt2_xlarge(weights=GPT2XLargeWeights.WEBTEXT)
model = models.gpt2_xlarge(pretrained="WEBTEXT")
# feed token ids (tokenize with the matching lucid.utils.tokenizer)
input_ids = lucid.tensor([[101, 7592, 2088, 102]], dtype=lucid.int64)
out = model(input_ids)
hidden = out.last_hidden_state # (B, T, hidden_size)Conversion
Converted from transformers/gpt2-xl via python -m tools.convert_weights gpt2_xlarge --tag WEBTEXT. Key mapping + numerical parity verified against the source.
License
mit — inherited from the original weights.
Citation
Radford et al., "Language Models are Unsupervised Multitask Learners", 2019 (GPT-2).