mlx-examples/clip/requirements.txt

mlx
numpy
transformers
torch
huggingface_hub
Pillow
CLIP (ViT) (#315) * probably approximatelly correct CLIPTextEncoder * implemented CLIPEncoderLayer as built-in nn.TransformerEncoderLayer * replaced embedding layer with simple matrix * implemented ViT * added ViT tests * fixed tests * added pooler_output for text * implemented complete CLIPModel * implemented init * implemented convert.py and from_pretrained * fixed some minor bugs and added the README.md * removed tokenizer unused comments * removed unused deps * updated ACKNOWLEDGEMENTS.md * Feat: Image Processor for CLIP (#1) @nkasmanoff: * clip image processor * added example usage * refactored image preprocessing * deleted unused image_config.py * removed preprocessing port * added dependency to mlx-data * fixed attribution and moved photos to assets * implemented a simple port of CLIPImageProcessor * review changes * PR review changes * renamed too verbose arg * updated README.md * nits in readme / conversion * simplify some stuff, remove unneeded inits * remove more init stuff * more simplify * make test a unit test * update main readme * readme nits --------- Co-authored-by: Noah Kasmanoff <nkasmanoff@gmail.com> Co-authored-by: Awni Hannun <awni@apple.com> 2024-02-01 06:19:53 +08:00			`mlx`
			`numpy`
			`transformers`
			`torch`
			`huggingface_hub`
chore(clip): update the clip example to make it compatible with HF format (#472) * chore(clip): update the clip model to be HF format * Update clip/convert.py Co-authored-by: Awni Hannun <awni.hannun@gmail.com> * chore: address comments * chore: rename ClipVisionModel and ClipTextModel * chore: add output hidden_states support * chore: remove custom conv2d and apply weight transpose during weight sanitizing * Update clip/model.py * Update clip/model.py --------- Co-authored-by: Awni Hannun <awni.hannun@gmail.com> 2024-02-23 22:49:53 +08:00			`Pillow`