首先是加载模型,OpenAI 已将模型开源至Hugging Face上,可直接从远端加载使用,也可以将模型文件 pytorch_model.bin, config.json, tokenizer.json, vocab.json 等下载到本地加载 config.json 调用。 fromtransformersimportGPT2Tokenizer,GPT2Model# Load online.tokenizer=GPT2Tokenizer.from_pretrained('gpt2')model=G...
这看起来很奇怪,因为我在实例化 tokenizer 时在代码中明确指定了 EOS 令牌: \n tokenizer = GPT2Tokenizer.from_pretrained(\'gpt2\', bos_token=\'<|startoftext|>\', eos_token=\'<|endoftext|>\', pad_token=\'<|pad|>\')\n Run Code Online (Sandbox Code Playgroud)\n ...
# tiktoken: 处理 openAI 模型的快速 BPE 分词器 # https://tiktokenizer.vercel.app/ 这里有 tiktoken 的可视化操作界面 import tiktoken enc = tiktoken.get_encoding('gpt2') tokens = enc.encode("Hello, I'm a language model,") print("encoded input:") print(tokens) tokens = torch.tensor(tok...
Line 72initializes theGPT2LMHeadModeland theGPT2Tokenizer. The former is the actual network, the latter the object containing information about the vocabulary, how to encode text into numbers and go the other way around during the decoding phase. ...
中文的GPT2训练代码,使用BERT的Tokenizer或Sentencepiece的BPE model(感谢kangzhonghua的贡献,实现BPE模式需要略微修改train.py的代码)。可以写诗,新闻,小说,或是训练通用语言模型。支持字为单位或是分词模式或是BPE模式(需要略微修改train.py的代码)。支持大语料训练。 NEWS 12.9.2019 新项目GPT2-chitchat已发布,部分...
print(tokenizer.decode(outputs[0], skip_special_tokens=Truinputs = tokenizer("translate English to German: That is good.", return_tensors="pt") # Generate sequence for an input outputs = t5_model.to('cuda:0').generate(inputs.input_ids.to('cuda:0')) print(tokenizer.decode(outputs[0]...
import torch from transformers import AutoModelForCausalLM, AutoTokenizer tokenizer = AutoTokenizer.from_pretrained("FreedomIntelligence/HuatuoGPT2-7B", use_fast=True, trust_remote_code=True) model = AutoModelForCausalLM.from_pretrained("FreedomIntelligence/HuatuoGPT2-7B", device_map="auto", torch_...
7. Language Model Tokenizers Introduce Unfairness Between Languages. (from Philip H.S. Torr) 8. The False Promise of Imitating Proprietary LLMs. (from Pieter Abbeel, Sergey Levine) 9. COMET-M: Reasoning about Multiple Events in Complex Sentences. (from Raymond Ng) ...
def tokenize(obj): if isinstance(obj, str): return tokenizer.convert_tokens_to_ids(tokenizer.tokenize(obj)) if isinstance(obj, dict): return dict((n, tokenize(o)) for n, o in obj.items()) limit = 100 # <- this is the number of items in the dataset to load ...
tokenizer.model RL 数据格式 RL阶段和SFT阶段的数据格式保持一致,以Text2SQL任务举例子,RL数据可以构造为(prompt,output}的二元组,如下所示: prompt-otput {"prompt": "I want you to act as a SQL terminal in front of an example database, you need only to return the sql command to me.Below is...