notebooks
huggingface_hub
notebooks | huggingface_hub | |
---|---|---|
17 | 104 | |
3,293 | 1,688 | |
2.7% | 4.2% | |
8.4 | 9.6 | |
4 days ago | 2 days ago | |
Jupyter Notebook | Python | |
Apache License 2.0 | Apache License 2.0 |
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notebooks
- Training multiple models like ResNet50 or ViT on the same dataset [P]
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Sagemaker Model deployment and Integration
đź““ Open the notebook for an example of how to run a batch transform job for inference.
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Your own Stable Diffusion endpoint with AWS SageMaker
In order to overwrite it, the package readme has some general information about it, and also there is an example in this jupyter notebook. We are doing what is necessary via the files inside sagemaker/code, which has the inference code following SageMaker requirements, and a requirements.txt, that has the necessary dependencies that will be installed when the endpoint gets created
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Is there a huggingface model that does free response QA?
You still haven’t explained your use-case for the model. You can look up “Open Domain QA” models. There are a lot of them, but they’re often restricted in how well they generalize and benefit from fine tuning. E.g., https://github.com/huggingface/notebooks/blob/main/longform-qa/Long_Form_Question_Answering_with_ELI5_and_Wikipedia.ipynb
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List of Stable Diffusion systems - Part 3
(Updated Aug. 27, 2022) Colab notebook Stable Diffusion with diffusers by huggingface. GitHub repo. Video tutorial. Official Colab notebook. txt2img. Uses HuggingFace diffusers repo.
- anyone having issues with the textual inversion colab?
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Training textual inversion of Stable Diffusion on your own dataset
Looks like they updated the notebook 15 minutes ago. Hopefully it works now.
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Ask HN: What kind of data do I need to build a language model?
Basically, you can then do similar things using HuggingFace, as indeed many have (you can explore the models in their hub)[2]
[1] https://www.youtube.com/playlist?list=PLtmWHNX-gukKocXQOkQju...
[2] https://github.com/huggingface/notebooks/blob/main/examples/...
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[D] NLP has HuggingFace, what does Computer Vision have?
image classification: ViT, DeiT, BEiT, Swin Transformer, PoolFormer, ResNet, RegNet, ConvNeXT, Perceiver, ImageGPT, VAN. Check out the official example scripts, example notebooks.
- Need help in extracting a binary label from a text corpus
huggingface_hub
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OpenAI's employees were given two explanations for why Sam Altman was fired
Something to think about:
https://github.com/huggingface/huggingface_hub
- Thoughts on a "Text Generation CivitAI"
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Civitai alternatives.
Yes! We have a well documented Python library (https://github.com/huggingface/huggingface_hub) and public endpoints (https://huggingface.co/docs/hub/api#endpoints-table) you can use to retrieve information about the models and potentially build UIs with specific use cases in mind
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Fox Fairy @ Diffusion Forest: Unreal Engine + Stable Diffusion
i think if you search for pixel art here there are some models worth checking out: https://huggingface.co/
- ASK HN: AI is really exciting but where do I start?
- j'ai entraîné une IA à générer Éric Duhaime en clown !
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[Guide] DreamBooth Training with ShivamShrirao's Repo on Windows Locally
I received another error saying OSError: We couldn't connect to 'https://huggingface.co' to load this model, couldn't find it in the cached files and it looks like ./vae is not the path to a directory containing a file named diffusion_pytorch_model.bin
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Training a Deep Learning Language Model for Latin text Generation
I plan to release it on https://huggingface.co/, where all this cool AI stuff is available for free for everyone that wishes to try it.
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Image Upscaling Models Compared (General, Photo and Faces)
For this I used mainly the chainner application with models from here but I also used the google colab automatic1111 stable diffusion webui (for example for Lanczos) and also spaces fromhuggingface like this one or then from the replicate.com website super resolution collection.
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2D Illustration Styles are scarce on Stable Diffusion so i created a dreambooth model inspired by Hollie Mengert's work
you will now need to create a huggingface account ( https://huggingface.co/) if you haven't already. When you have, go here and accept the terms, https://huggingface.co/runwayml/stable-diffusion-v1-5. When you have done both, click on your profile icon and go to settings. Click access tokens and then create token, name it whatever you want, select "write". When you are finished with all this, then you can run the next cell which is the hugging face cell. It will ask for a token, you copy and paste what you just created.
What are some alternatives?
pytorch-image-models - PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
civitai - A repository of models, textual inversions, and more
Transformers-Tutorials - This repository contains demos I made with the Transformers library by HuggingFace.
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
stable-diffusion - k_diffusion wrapper included for k_lms sampling. fixed for notebook.
spaCy - đź’« Industrial-strength Natural Language Processing (NLP) in Python
easydiffusion - Easy Diffusion is an advanced Stable Diffusion Notebook with a feature rich image processing suite.
mammography_metarepository - Meta-repository of screening mammography classifiers
stable-diffusion-colab - Adapdet for google colab
KoboldAI-Client
HidamariDiffusionColab - colab for stable diffusion
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration