trainer_utils from datasets import load_dataset from sklearn.metrics import accuracy_score, precision_recall_fscore_support # 模型位置 model_path = 'bert_tiny' # 训练过程保存模型位置,需要手动创建 model_ouput_dir = 'bert_use_tiny_model' local_data = load_dataset(path='bert_use_data', data...
方法2：import transformers as ppb model = ppb.BertForSequenceClassification.from_pretrained('bert-bas...
In addition to pipeline, to download and use any of the pretrained models on your given task, all it takes is three lines of code. Here is the PyTorch version:>>> from transformers import AutoTokenizer, AutoModel >>> tokenizer = AutoTokenizer.from_pretrained("bert-base-uncased") >>> ...
The training API is not intended to work on any model but is optimized to work with the models provided by the library. For generic machine learning loops, you should use another library (possibly, Accelerate). While we strive to present as many use cases as possible, the scripts in our ...
🤗 Transformers 提供了便于快速下载和使用的API,让你可以把预训练模型用在给定文本、在你的数据集上微调然后通过model hub与社区共享。同时,每个定义的 Python 模块均完全独立,方便修改和快速研究实验。 🤗 Transformers 支持三个最热门的深度学习库:Jax,PyTorchandTensorFlow— 并与之无缝整合。你可以直接使用一个...
Use a single-phase tap-changing transformer to control the voltage across an RLC load. The system contains an AC voltage source that generates a 60 Hz sine wave (located on the left-hand side of the circuit). The root-mean-square value for the voltage generated by this source is 120 V...
让我们看看如何通过设置 temperature=0.7 来冷却生成过程:# set seed to reproduce results. Feel free to change the seed though to get different resultstf.random.set_seed()# use temperature to decrease the sensitivity to low probability candidatessample_output = model.generate( input_ids, do_...
model_args.max_length =512model_args.length_penalty =1model_args.num_beams =10model = T5Model("mt5","outputs", args=model_args, use_cuda=False) 现在可以使用model_predict函数进行从英语到土耳其语的翻译。 simpletransformers库使得从序列标记到 Seq2Seq 模型的训练变得非常简单和可用。
import{env}from'@xenova/transformers';// Specify a custom location for models (defaults to '/models/').env.localModelPath='/path/to/models/';// Disable the loading of remote models from the Hugging Face Hub:env.allowRemoteModels=false;// Set location of .wasm files. Defaults to use a...
local_files_only=True,# 指定模型精度,保持和之前文章中的模型程序相同`model.py`torch_dtype=torch.float16,# 量化配置 quantization_config=BitsAndBytesConfig(# 量化数据类型设置 bnb_4bit_quant_type="nf4",# 量化数据的数据格式 bnb_4bit_compute_dtype=torch.bfloat16),# 自动分配设备资源 ...