You can save a HuggingFace dataset to disk using the save_to_disk() method. For example: from datasets import load_dataset test_dataset = load_dataset("json", data_files="test.json", split="train") test_dataset.save_to_disk("test.hf") Share Follow edited Jul 13, 2022 at 16:32 ...
Describe the bug load_from_disk and save_to_disk are not compatible. When I use save_to_disk to save a dataset to disk it works perfectly but given the same directory load_from_disk throws an error that it can't find state.json. looks li...
I'm trying to save themicrosoft/table-transformer-structure-recognitionHuggingface model (and potentially its image processor) to my local disk in Python 3.10. The goal is to load the model inside a Docker container later on without having to pull the model weights and configs from Huggin...
For all pytorch models we manage to save them in an unify format like huggingface format: model_name/ .pytorch_model.bin .bigdl_config.json API design: save: #savemodel=optimize_model(...)model.save_low_bit(save_dir) load: #loadmodel=Net(...)load_low_bit(model,save_dir) Usage Examp...
I have two alternatives saved to disk. Lets restart and try either of these approaches First thehuggingface docsapproach: I now have three sets of weights. the foundation model - starbase plus the chat finetune - starchat-beta the 16mb saved bin - adapter_model.bin ...
What's the proper convention to save/load finetuned huggingface models ? Expected Behaviors: Thesave_pretrained functionshould save all the tensors in the huggingface transformer model, even if theirrequires_gradattribute is False. ---UPDATE--- ...
"huggingface-hub==0.19.4", "idna==3.4", "imageio==2.33.0", "importlib-metadata==7.0.0", "importlib-resources==6.1.1", "inflection==0.5.1", "iopath==0.1.9", "jinja2==3.1.2", "jsonmerge==1.8.0", "jsonschema-specifications==2023.11.2", "jsonschema==4.20.0", "kiwisolver==1.4...
The GGUF models can be downloaded from the Huggingface Hub HERE a video of an example of how to use the GGUF models by boricuapab Llava Here a small list of the models supported by this nodes: LlaVa 1.5 7B LlaVa 1.5 13B LlaVa 1.6 Mistral 7B BakLLaVa Nous Hermes 2 Vision ###Examp...
There is a method to save tokenizer. Check this notebook: https://github.com/huggingface/blog/blob/master/notebooks/01_how_to_train.ipynb Author 008karan commented May 25, 2020 Thats what I am using. its saving it in the dataset variable not in any file. ByTokenize data I mean pretra...
The GGUF models can be downloaded from theHuggingface Hub HEREa video of an example of how to use the GGUF models byboricuapab Llava Here a small list of the models supported by this nodes: LlaVa 1.5 7BLlaVa 1.5 13BLlaVa 1.6 Mistral 7BBakLLaVaNous Hermes 2 Vision ...