Update tasks and 🛳️ mask-generation and zero-shot-object-detection #462
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merveenoyan
requested review from
osanseviero,
SBrandeis,
gary149 and
Wauplin
as code owners
osanseviero
reviewed
Jan 26, 2024
| - [Training CodeParrot 🦜 from Scratch](https://huggingface.co/blog/codeparrot) | ||
| - [How to generate text: using different decoding methods for language generation with Transformers](https://huggingface.co/blog/how-to-generate) | ||
| ### Model Inference & Deployment | ||
| - [Optimizing your LLM in production](https://huggingface.co/blog/optimize-llm) |
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Let's leave a new line between headings and lists, as some editors won't work well otherwise
| - [Preference Tuning LLMs with Direct Preference Optimization Methods](https://huggingface.co/blog/pref-tuning) | ||
| - [Fine-tune Llama 2 with DPO](https://huggingface.co/blog/dpo-trl) | ||
|
|
||
| ### Hugging Face Model Releases |
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I would not have a section about HF-specific models (also IDEFICS is multimodal)
osanseviero
requested review from
pcuenca and
osanseviero
and removed request for
gary149,
Wauplin and
SBrandeis
Co-authored-by: Omar Sanseviero <[email protected]>
Co-authored-by: Omar Sanseviero <[email protected]>
|
I will lint after the last review to the content |
pcuenca
reviewed
Jan 27, 2024
| image_url = "https://huggingface.co/ybelkada/segment-anything/resolve/main/assets/car.png" | ||
| outputs = generator(image_url, points_per_batch = 256) | ||
| outputs = generator(image_url, points_per_batch = 64) |
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Do we need to repeat points_per_batch here?
| outputs = generator(image_url, points_per_batch = 256) | ||
| outputs = generator(image_url, points_per_batch = 64) | ||
| outputs["masks"] | ||
| # array of multiple binary masks returned for each generated mask |
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Would it be possible to show them (or a few)?
Comment on lines
+69
to
+71
| - [Finetune Stable Diffusion Models with DDPO via TRL](https://huggingface.co/blog/pref-tuning) | ||
| - [LoRA training scripts of the world, unite!](https://huggingface.co/blog/sdxl_lora_advanced_script) | ||
| - [Using LoRA for Efficient Stable Diffusion Fine-Tuning](https://huggingface.co/blog/lora) |
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I'd put them exactly in reverse order lol. Also https://huggingface.co/blog/annotated-diffusion is a great, great resource (and not only for fine-tuning).
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They weren't in particular order honestly
| @@ -61,3 +61,5 @@ await inference.textToSpeech({ | |||
| - [An introduction to SpeechT5, a multi-purpose speech recognition and synthesis model](https://huggingface.co/blog/speecht5). | |||
| - [A guide on Fine-tuning Whisper For Multilingual ASR with 🤗Transformers](https://huggingface.co/blog/fine-tune-whisper) | |||
| @@ -61,3 +61,5 @@ await inference.textToSpeech({ | |||
| - [An introduction to SpeechT5, a multi-purpose speech recognition and synthesis model](https://huggingface.co/blog/speecht5). | |||
| - [A guide on Fine-tuning Whisper For Multilingual ASR with 🤗Transformers](https://huggingface.co/blog/fine-tune-whisper) | |||
| - [Speech Synthesis, Recognition, and More With SpeechT5](https://huggingface.co/blog/speecht5) | |||
| - [Optimizing a Text-To-Speech model using 🤗 Transformers](https://huggingface.co/blog/optimizing-bark) | |||
| - | |||
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cc @Vaibhavs10 in case there are some obvious tts resources we can use here :)
Co-authored-by: Pedro Cuenca <[email protected]>
Co-authored-by: Pedro Cuenca <[email protected]>
Co-authored-by: Pedro Cuenca <[email protected]>
Co-authored-by: Pedro Cuenca <[email protected]>
Co-authored-by: Pedro Cuenca <[email protected]>
Co-authored-by: Pedro Cuenca <[email protected]>
Co-authored-by: Pedro Cuenca <[email protected]>
Co-authored-by: Pedro Cuenca <[email protected]>
Co-authored-by: Pedro Cuenca <[email protected]>
pcuenca
approved these changes
Jan 31, 2024
Co-authored-by: Pedro Cuenca <[email protected]>
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This is a follow-up to my previous PR to add resources to various tasks and ship mask-generation and zero-shot-object-detection