Question (Part 3): Is there a way to avoid the.set_format()function after the.map()and make it part of the_process_data_to_model_inputsfunction? python parallel-processing pytorch dataset huggingface Share Improve this question editedOct 21, 2022 at 0:46 ...
While running the model.prepare_tf_dataset() method, it raises the error below: TypeError: Cannot convert [array([322., 1.])] to EagerTensor of dtype int64 This happens, in "DataCollatorForSeq2...
dataset = dataset.filter(lambda example: example['image'] is not None) dataset = dataset.filter(lambda example: example['text'] is not None) dataset.push_to_hub(path-to-repo', private=False) @NielsRoggewhere I was unable to create a dataset from a Pandas DataFrame containing PIL.Images....
Finally, we used 🤗 Transformers to perform text-to-speech (offline) using our computing resources. So, to wrap it up, If you want to use a reliable synthesis, you can go for Audio OpenAI API, Google TTS API, or any other reliable API you choose. If you want a reliable but offline...
Make sure you have an audio file in the current directory that contains English speech (if you want to follow along with me, get the audio filehere): filename="16-122828-0002.wav" Copy This file was grabbed from theLibriSpeechdataset, but you can use any audio WAV file you want, just...
Hi, I'm trying to pretraine deep-speed model using HF arxiv dataset like: train_ds = nlp.load_dataset('scientific_papers', 'arxiv') train_ds.set_format( type="torch", columns=["input_ids", "attention_mask", "global_attention_mask", "labe...
If no model address is provided, you will need to annotate documents manually. your_huggingface/finetuned_layoutlmv3 Hugging Face Token: This token is necessary for connecting to private models on Hugging Face. Ensure you have the correct permissions and the token ready. Labels for Your ...
Describe the bug When load a large dataset with the following code from datasets import load_dataset dataset = load_dataset("liwu/MNBVC", 'news_peoples_daily', split='train') We encountered the error: "OverflowError: Python int too large...
Get an error "OverflowError: Python int too large to convert to C long" when loading a large dataset huggingface/datasets#6007 pip list about-time 4.2.1 accelerate 0.25.0 ago 0.0.95 aiofiles 23.2.1 aiohttp 3.8.6 aiosignal 1.3.1 alabaster 0.7.13 albumentations 1.3.1 alive-progress 3.1.4...
Describe the bug @sayakpaul @patrickvonplaten I follow this tutorial(https://github.com/huggingface/diffusers/blob/main/examples/text_to_image/README_sdxl.md) to build SDXL LoRA based on Pokemon, but failed. If anyone met smiliar issue w...