Comments (8)
Adding some more ideas:
- Make people learn about GAN metrics, like FID and Inception score
- Add section related to the main applications of GANs
- Explain how to set up Accelerate to set up the scripts
- Tag all vision datasets on the hub with "vision" such that people can easily retrieve them
- improve and battle test
PyTorchModelHubMixin
- support datasets with trainA, trainB, testA and testB columns like this one: https://huggingface.co/datasets/huggan/horse2zebra
- add links to great example Spaces
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for example ? Or you have something else in mind ?
Maybe "vision"? Currently, all vision models on the hub are tagged with that.
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(if we move to the new task scheme that you proposed recently, we don't need to hardcode the modality b/c it will be implied by the task)
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Some new todos (lol the list grows larger and larger) based on internal discussion https://huggingface.slack.com/archives/C035Y01JHMY/p1648122316988469
- Allow uploading multiple TF models to a single model repo (solved with huggingface/huggingface_hub#533) or just the generator
- validate scripts work on multiple GPUs
- add automatic model card in scripts
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Tag all vision datasets on the hub with "vision" such that people can easily retrieve them
Currently we don't tag datasets with a "image" or "text" or "audio" tag but we can probably do that indeed. Maybe
modalities:
- image
for example ? Or you have something else in mind ?
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Ok sounds good :)
I'll also adapt the datasets tagging app to support this field then, and make it compatible for vision datasets (right now it's heavily focused on text datasets)
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(cc @osanseviero )
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(if we move to the new task scheme that you proposed recently, we don't need to hardcode the modality b/c it will be implied by the task)
Yes indeed, maybe we don't even need the modality tag if we can just infer it from the task tag, as we do for models ^^
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Related Issues (20)
- How to use the resulting whisper checkpoints when finetuning HOT 9
- Fine-tuned Whisper models perform worse than OpenAI HOT 8
- Super large number of epoch HOT 1
- Using finetuned whisper checkpoints for inference HOT 1
- Whisper parameters HOT 1
- Add Keras Dreambooth notebook to this repo
- Lambda platform doesn't support Tensorflow-Gpu HOT 1
- Visualize ControlNet results using Weights & Biases Tables HOT 11
- WhisperPositionalEmbedding HOT 1
- this is more question than an issue HOT 2
- Padding conflict in loss computation HOT 2
- Whisper finetune HOT 1
- common_voice map error in the notebook of fine-tune-whisper-non-streaming HOT 1
- huggan.pytorch.lightweight_gan.lightweight_gan.LightweightGAN _from_pretrained requires use_auth_token but this is not passed by the from_pretrained method inherited from ModelHubMixin HOT 5
- Increasing WER & Validation Loss During Whisper Fine-Tuning HOT 1
- Poor Real-Time Performance of Whisper Models Fine-Tuned on Synthetic Data HOT 1
- Colab runtime crash HOT 2
- How to prepare audio dataset for whisper fine-tuning with timestamps?
- The fine tuning script run_speech_recognition_seq2seq_streaming.py use interleave_datasets which will truncate the train split HOT 2
- Using rename_column and remove_column method for a IterableDataset object leads to its feature property become None --- in the Whisper Fine-Tuning Event HOT 1
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