4.4 计算注意力输出 4.5 线性变换 4.6 返回结果 4、LlamaMLP 1、初始化方法 2、forward 5、LlamaRMSNorm 6、LlamaRotaryEmbedding 1、初始化方法 2、forward 7、LlamaLinearScalingRotaryEmbedding 以Transformers 中网络结构进行解读。 代码位置:transformers/src/transformers/models/llama/modeling_llama.py ...
1、PreTrainedModel 基类 代码位置:transformers/src/transformers/models/llama/modeling_llama.py transformers 中的模型如果使用bitsandbytes量化,只需要在from_pretrained()中添加相应的字段,举例子如下: fromtransformersimportAutoModelForCausalLMmodel_8bit=AutoModelForCausalLM.from_pretrained("facebook/opt-350m",l...
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX. - transformers/src/transformers/models/llama/modeling_llama.py at main · huggingface/transformers
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RuntimeError: Failed toimporttransformers.models.llama.modeling_llama becauseofthe following error (look up to see its traceback): cannotimportname'flash_attn_func'from'flash_attn'(/opt/conda/lib/python3.10/site-packages/flash_attn/__init__.py) ...
最后需要重启电脑才行(重启pycharm不行) [] [https://learn.microsoft.com/en-us/answers/questions/136595/error-microsoft-visual-c-14-0-or-greater-is-requir] 示例 使用中文LLaMA模型进行句子embedding的示例 在这个例子中,我们使用了PyTorch张量(pt)格式的输入,并计算了句子的平均嵌入。
Decision Transformer (来自 Berkeley/Facebook/Google) 伴随论文 Decision Transformer: Reinforcement Learning via Sequence Modeling 由Lili Chen, Kevin Lu, Aravind Rajeswaran, Kimin Lee, Aditya Grover, Michael Laskin, Pieter Abbeel, Aravind Srinivas, Igor Mordatch 发布。 Deformable DETR (来自 SenseTime Re...
📝Natural Language Processing: text classification, named entity recognition, question answering, language modeling, summarization, translation, multiple choice, and text generation. 🖼️Computer Vision: image classification, object detection, and segmentation. ...
A model that meets these criteria is the newly released Llama 2. More specifically,Llama-2–7b-chat-hf, which is a model in the Llama 2 family with about 7 billion parameters, optimized for chat, and in the Hugging Face Transformers format. We can get more information about this model vi...
Decision Transformer (来自 Berkeley/Facebook/Google) 伴随论文 Decision Transformer: Reinforcement Learning via Sequence Modeling 由Lili Chen, Kevin Lu, Aravind Rajeswaran, Kimin Lee, Aditya Grover, Michael Laskin, Pieter Abbeel, Aravind Srinivas, Igor Mordatch 发布。 Deformable DETR (来自 SenseTime Re...