importtorchfromtransformersimportGPT2LMHeadModel, GPT2Config, AutoModelForCausalLM# Step 1: Load the pre-trained GPT-2 XL modelpretrained_model = AutoModelForCausalLM.from_pretrained("gpt2-xl")# Step 2: Calculate the L2 norm of the weights for the pre-trained modelpretrained_weight_norm =0....
# 需要导入模块: from transformers import GPT2Tokenizer [as 别名]# 或者: from transformers.GPT2Tokenizer importfrom_pretrained[as 别名]def__init__(self, class_size, pretrained_model="gpt2-medium", cached_mode=False, device="cpu"):super().__init__() self.tokenizer = GPT2Tokenizer.from_pr...
assert model_type in {'gpt2', 'gpt2-medium', 'gpt2-large','gpt2-xl'} from transformers import GPT2LMHeadModel print("loading weights from pretrained gpt: %s" % model_type) #n_layer, n_head and n_embd are determined from model_type config_args = { 'gpt2': dict(n_layer=12, ...
在transformers库中,与文本生成相关的配置通常是通过GenerationConfig类来完成的。因此,你可能需要查找的是GenerationConfig而不是generationconfig。 寻找替代的类或模块: 如果你需要配置文本生成的相关参数,你应该使用GenerationConfig类。下面是一个使用GenerationConfig类的示例: python from transformers import GPT2LMHead...
transformers 3.5.1,run_clm.py 不使用3.5之前的版本,和其他包有冲突。 四、参数设置 train_data_file=path/gpt2/data/wikitext-2-raw/wiki.train.txt #上述路径下载的wikitext-2-raw文件,并更换后缀名为txt eval_data_file=path/gpt2/data/wikitext-2-raw/wiki.valid.txt model_type=gpt2 block_size=...
pre_tokenizers import WhitespaceSplit from tokenizers.trainers import WordLevelTrainer from transformers import PreTrainedTokenizerFast from transformers import GPT2Config, TFGPT2LMHeadModel from transformers import CONFIG_NAME import tensorflow as tf data_folder = "data_folder" model_folder = "model_...
from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained(model_id, quantization_config=gptq_config) 请注意,您需要一个GPU来进行模型的量化。我们会将模型放置在CPU中,并在GPU和CPU之间来回移动各个模块以进行量化。 如果您想在使用CPU offload的同时最大化您的GPU使用率,您可...
self.embedding_dim = self.model.config.hidden_size self.ebd_dim = self.model.config.hidden_size 开发者ID:YujiaBao,项目名称:Distributional-Signatures,代码行数:24,代码来源:cxtebd.py 示例2: main ▲点赞 6▼ # 需要导入模块: from transformers import BertModel [as 别名]# 或者: from transformers...
import pandas as pd import os import torch from transformers import GPT2Tokenizer from trl import AutoModelForCausalLMWithValueHead, PPOConfig, PPOTrainer I got the error: ImportError: cannot import name 'GenerationConfig' from 'transformers' (/usr/local/lib/python3.9/dist-packages/transformers/_...
使用from_pretrained()函数加载模型需要pytorch_model.bin和config.json文件。 加载tokenizer 测试代码:如果加载成功,就打印1。 fromtransformersimportAutoTokenizer tokenizer = AutoTokenizer.from_pretrained("./bert-base-chinese")print(1) 文件目录结构: