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Fix 3 typos in README.md #2544

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Jul 9, 2025
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Fix 3 typos in README.md #2544

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6 changes: 3 additions & 3 deletions README.md
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Original file line number Diff line number Diff line change
Expand Up @@ -137,7 +137,7 @@
* Allow override of `cache_dir` arg for model creation
* Pass through `trust_remote_code` for HF datasets wrapper
* `inception_next_atto` model added by creator
* Adan optimizer caution, and Lamb decoupled weighgt decay options
* Adan optimizer caution, and Lamb decoupled weight decay options
* Some feature_info metadata fixed by https://github.com/brianhou0208
* All OpenCLIP and JAX (CLIP, SigLIP, Pali, etc) model weights that used load time remapping were given their own HF Hub instances so that they work with `hf-hub:` based loading, and thus will work with new Transformers `TimmWrapperModel`

Expand Down Expand Up @@ -301,7 +301,7 @@ Add a set of new very well trained ResNet & ResNet-V2 18/34 (basic block) weight
* Other misc fixes

### June 24, 2024
* 3 more MobileNetV4 hyrid weights with different MQA weight init scheme
* 3 more MobileNetV4 hybrid weights with different MQA weight init scheme

| model |top1 |top1_err|top5 |top5_err|param_count|img_size|
|--------------------------------------------------------------------------------------------------|------|--------|------|--------|-----------|--------|
Expand Down Expand Up @@ -344,7 +344,7 @@ Add a set of new very well trained ResNet & ResNet-V2 18/34 (basic block) weight
### May 14, 2024
* Support loading PaliGemma jax weights into SigLIP ViT models with average pooling.
* Add Hiera models from Meta (https://github.com/facebookresearch/hiera).
* Add `normalize=` flag for transforms, return non-normalized torch.Tensor with original dytpe (for `chug`)
* Add `normalize=` flag for transforms, return non-normalized torch.Tensor with original dtype (for `chug`)
* Version 1.0.3 release

### May 11, 2024
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