This only load a .pt file. But in huggingface, most libraries don't provide checkpoints, butpytorch_model.binfiles. And whisper library can't load them easily. Could you please offer a example that load a model from huggingface likehttps://huggingface.co/openai/whisper-mediumorhttps://huggi...
Is there an example of using the code in https://github.com/pytorch/fairseq/blob/master/fairseq/models/huggingface/hf_gpt2.py ? @myleott @shamanez It seems like that this is only a wrap, but there are more should be done if we want to load the pretrained gpt2 model from hugging fa...
from datasets import load_dataset dataset = load_dataset("parquet", data_files={'train': 'train.parquet', 'test': 'test.parquet'}) 要通过 HTTP 加载远程镶木地板文件,您可以传递 URL: base_url = "https://storage.googleapis.com/huggingface-nlp/cache/datasets/wikipedia/20200501.en/1.0.0/"...
如您在前几章中所见,我们可以使用pipeline()函数来实例化它: from transformers import pipeline camembert_fill_mask = pipeline("fill-mask", model="camembert-base") results = camembert_fill_mask("Le camembert est <mask> :)") 1. 2. 3. 4. [ {'sequence': 'Le camembert est délicieux :)', ...
初步判断是因为连不上huggingface,无法下载模型导致的。sd本体也有不少人遇到这个问题,解决办法是手动下载之后改代码里的指向路径。 解决办法 手动下载 首先访问这个仓库,切换到File And Versions选项卡,点文件大小右边的↓依次下载所有文件,然后保存到同一个目录。例如:D:\clip-vit-large-patch14,如果是Linux平台记得...
>>> from random import randint >>> from transformers import pipeline >>> fillmask = pipeline("fill-mask", model="roberta-base") >>> mask_token = fillmask.tokenizer.mask_token >>> smaller_dataset = dataset.filter(lambda e, i: i<100, with_indices=True) 下面的函数会随机选择一个单词进...
手动下载huggingface.co的模型并修改测试代码: import torch from transformers import BertModel, BertTokenizer, BertConfig dir_path="/home/devil/.cache/huggingface/hub/models--bert-base-chinese/snapshots/8d2a91f91cc38c96bb8b4556ba70c392f8d5ee55/"# 首先要import进来 ...
huggingface 相关环境的安装和问题处理本篇暂不涉及,后续补充。这里以一个模型为例,完成从模型介绍到加载、运行的完整过程,作为我们熟悉 huggingface 的一个示例。 二 模型 这里选择 google/pegasus-newsroom 模型作为示例。 2.1 介绍 模型介绍参见https://huggingface.co/docs/transformers/main/model_doc/pegasus,模型...
Unable to load weights from pytorch checkpoint file. If you tried to load a PyTorch model from a TF 2.0 checkpoint, please set from_tf=True. 1. 2. 模型地址:https://huggingface.co/models?search=albert_chinese 方法一: ...
and load the model via: model = AutoModelForCausalLMWithValueHead.from_pretrained("./model_after_rl") ref_model = AutoModelForCausalLMWithValueHead.from_pretrained("./model_after_rl") But the performance is same to without any reinforcement learning, when I add the loaded model to a new ...