I'm trying to run language model finetuning script (run_language_modeling.py) from huggingface examples with my own tokenizer(just added in several tokens, see the comments). I have problem loading the tokenizer. I think the problem is with AutoTokenizer.from_pretrained('local/path/to/director...
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/"...
from .blocks import FeatureFusionBlock, _make_scratch import torch.nn.functional as F from huggingface_hub import PyTorchModelHubMixin, hf_hub_download from depth_anything.blocks import FeatureFusionBlock, _make_scratch def _make_fusion_block(features, use_bn, size = None): @@ -164,7 +166,...
OSError: Can't load tokenizer for'bert-base-chinese'. If you were trying to load it from'https://huggingface.co/models', make sure you don't have a local directory with the same name. Otherwise, make sure 'bert-base-chinese' is the correct path to a directory containing all relevant ...
Is it even possible to load models from HuggingFace without config.json file provided? I also tried loading the model via: id2label = {0: "background", 1: "target"} label2id = {"background": 0, "target": 1} image_processor = AutoImageProcessor.from_pretrained("Car...
OSError: Can't load tokenizer for 'openai/clip-vit-large-patch14'. If you were trying to load it from 'https://huggingface.co/models', make sure you don't have a local directory with the same name. Otherwise, make sure 'openai/clip-vit-large-patch14' is the correct path to a dir...
llama_init_from_gpt_params: error: failed to load model 'llama-2-7b-chat.ggmlv3.q5_1.bin' {"timestamp":1693292489,"level":"ERROR","function":"loadModel","line":263,"message":"unable to load model","model":"llama-2-7b-chat.ggmlv3.q5_1.bin"} ...
from datasets import load_dataset dataset = load_dataset("squad", split="train") dataset.features {'answers': Sequence(feature={'text': Value(dtype='string', id=None), 'answer_start': Value(dtype='int32', id=None)}, length=-1, id=None), 'context': Value(dtype='string', id=None...
Hi i downloaded the BERT pretrained model (https://storage.googleapis.com/bert_models/2018_10_18/cased_L-12_H-768_A-12.zip) from here and saved to a directory in gogole colab and in local . when i try to load the model in colab im getting "We assumed '/content...
模型介绍参见https://huggingface.co/docs/transformers/main/model_doc/pegasus,模型是在论文《PEGASUS: Pre-training with Extracted Gap-sentences forAbstractive Summarization》中提出的,作者:Jingqing Zhang。基本思想是,PEGASUS 在预训练阶段,将输入的文档的重要句子 remove/mask,通过其它的句子预测生成,类似于摘要生...