Comments (4)
I would be interested in contributing to this - are there any guidelines, a roadmap, etc. I need to follow, or should I begin with a simple baseline in a separate repository and gradually expand it?
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Ya at a high level we were just thinking this would be something beneficial for the community, but no concrete plans -- an open_clip_jax repo would be great!
from open_clip.
Okay, thank you for clarifying that. I will implement a baseline and keep you up-to-date.
from open_clip.
The past few months have been quite busy for me, but I've been slowly chipping away at an open_clip_jax project here as a starting point. It is very much a work in progress and likely to be riddled with bugs but supports basic functionalities such as inference with pre-trained models and training (single- and multi-worker), with more features planned for the near future.
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Related Issues (20)
- Logging for cuda usage could be a little confused when specifying gpu-id HOT 1
- Is there someone who can share implemented script for --lock-text-unlocked-layers for "Native Clip Model"?
- On mismatch of model input, does not give correct list of valid ones HOT 1
- Triton error in int8-support HOT 1
- ```coca_base``` configuration does not have any ```pretrained``` arguments HOT 1
- Question: How/where to evaluate GeoDE and Dollar Street? HOT 1
- coca model get dimension mismatch error when dimension is 77 HOT 2
- How to load Clip-VIT-bigG-14 in local which has two .bin files and can not find any information how to load, thanks!!!!!!! HOT 2
- How to extract 1024 width patch embeddings and CLS embedding HOT 1
- S3 Broken Pipe Error HOT 10
- A NotImplementedError occurred when I imported the pre-trained weights of RN50.
- RuntimeError: Boolean value of Tensor with more than one value is ambiguous HOT 8
- CPU memory leak when training with CsvDataset-like dataset HOT 10
- datasets for pretrained models HOT 3
- unlocking layer groups in open_clip/src/open_clip /timm_model.py for fine-tuning HOT 1
- Long context CLIP HOT 3
- How to initialize the encoder to pretrain CLIP? HOT 1
- Training speed slow HOT 1
- The result is random HOT 2
- Load hybrid-clip in open_clip HOT 1
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