Files master .idea configs data model scripts spm_model .gitattributes .gitignore LICENSE README.MD generate_gpt2_keras.py modeling_gpt2.py prepare_data.py requirements.txt train_gpt2.py train_gpt2_keras.py train_transformer_xl.py
from .modeling import BertLayerNorm as LayerNorm logger = logging.getLogger(__name__) PRETRAINED_MODEL_ARCHIVE_MAP = {"gpt2": "https://s3.amazonaws.com/models.huggingface.co/bert/gpt2-pytorch_model.bin", "gpt2-medium": "https://s3.amazonaws.com/models.huggingface.co/bert/gpt2-med...
🐛 Describe the bug when i run ChatGPT : python train_prompts.py prompts.csv --strategy naive get : site-packages/transformers/models/gpt2/modeling_gpt2.py", line 181, in _attn attn_weights = torch.matmul(query, key.transpose(-1, -2)) Run...
关于“gpt2-Chinese的train.py报错:AttributeError: module transformers has no attribute modeling_gpt2” 的推荐: scrapy shell 报错 'NoneType' object has no attribute 'xpath' response是空 python中使用pyqt5出现 No module named 'QtWidgets'报错应该如何解决?
- **XLNet**:采用排列语言模型(Permutation Language Modeling, PLM),这是一种自回归预训练任务,它通过随机打乱句子中的单词顺序,然后让模型预测每个位置的正确单词。这种方法允许模型学习到双向上下文信息,因为它需要考虑单词在句子中的前后关系。 - **GPT**:使用自回归语言模型,即下一个词预测(Next Token Predicti...
- 标签:Visual AutoRegressive modeling, Image Generation, Next-Scale Prediction, GPT-style models, Scaling Laws, Zero-shot generalization 2. ✨ 核心观点与亮点: - 主张:VAR模型通过重新定义图像自回归学习为从粗糙到精细的“下一尺度预测”,与传统的栅格扫描“下一标记预测”不同,这种方法简单直观,使自回归...
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX. - transformers/src/transformers/models/gpt2/modeling_tf_gpt2.py at main · huggingface/transformers
modeling.py modeling_gpt2.py modeling_openai.py modeling_transfo_xl.py modeling_transfo_xl_utilities.py optimization.py optimization_openai.py tokenization.py tokenization_gpt2.py tokenization_openai.py tokenization_transfo_xl.py samples tests