From e8d994a55016408c7578643b358b45274570a05a Mon Sep 17 00:00:00 2001
From: jiangjiahui <jiangjiahui@leinao.ai>
Date: Fri, 12 Jul 2024 15:14:18 +0800
Subject: [PATCH] 2

---
 README.md          | 67 ++--------------------------------------------
 flax_model.msgpack |  6 ++---
 model.safetensors  |  6 ++---
 pytorch_model.bin  |  6 ++---
 tf_model.h5        |  6 ++---
 5 files changed, 14 insertions(+), 77 deletions(-)

diff --git a/README.md b/README.md
index e72576c..c639538 100644
--- a/README.md
+++ b/README.md
@@ -1,66 +1,3 @@
----
-license: apache-2.0
-tags:
-- vision
-- image-classification
-datasets:
-- imagenet-1k
----
+# temp111
 
-# ResNet-50 v1.5
-
-ResNet model pre-trained on ImageNet-1k at resolution 224x224. It was introduced in the paper [Deep Residual Learning for Image Recognition](https://arxiv.org/abs/1512.03385) by He et al. 
-
-Disclaimer: The team releasing ResNet did not write a model card for this model so this model card has been written by the Hugging Face team.
-
-## Model description
-
-ResNet (Residual Network) is a convolutional neural network that democratized the concepts of residual learning and skip connections. This enables to train much deeper models.
-
-This is ResNet v1.5, which differs from the original model: in the bottleneck blocks which require downsampling, v1 has stride = 2 in the first 1x1 convolution, whereas v1.5 has stride = 2 in the 3x3 convolution. This difference makes ResNet50 v1.5 slightly more accurate (\~0.5% top1) than v1, but comes with a small performance drawback (~5% imgs/sec) according to [Nvidia](https://catalog.ngc.nvidia.com/orgs/nvidia/resources/resnet_50_v1_5_for_pytorch).
-
-![model image](https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/resnet_architecture.png)
-
-## Intended uses & limitations
-
-You can use the raw model for image classification. See the [model hub](https://huggingface.co/models?search=resnet) to look for
-fine-tuned versions on a task that interests you.
-
-### How to use
-
-Here is how to use this model to classify an image of the COCO 2017 dataset into one of the 1,000 ImageNet classes:
-
-```python
-from transformers import AutoImageProcessor, ResNetForImageClassification
-import torch
-from datasets import load_dataset
-
-dataset = load_dataset("huggingface/cats-image")
-image = dataset["test"]["image"][0]
-
-processor = AutoImageProcessor.from_pretrained("microsoft/resnet-50")
-model = ResNetForImageClassification.from_pretrained("microsoft/resnet-50")
-
-inputs = processor(image, return_tensors="pt")
-
-with torch.no_grad():
-    logits = model(**inputs).logits
-
-# model predicts one of the 1000 ImageNet classes
-predicted_label = logits.argmax(-1).item()
-print(model.config.id2label[predicted_label])
-```
-
-For more code examples, we refer to the [documentation](https://huggingface.co/docs/transformers/main/en/model_doc/resnet).
-
-### BibTeX entry and citation info
-
-```bibtex
-@inproceedings{he2016deep,
-  title={Deep residual learning for image recognition},
-  author={He, Kaiming and Zhang, Xiangyu and Ren, Shaoqing and Sun, Jian},
-  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
-  pages={770--778},
-  year={2016}
-}
-```
+temp111
\ No newline at end of file
diff --git a/flax_model.msgpack b/flax_model.msgpack
index c9b8f23..ef54d59 100644
--- a/flax_model.msgpack
+++ b/flax_model.msgpack
@@ -1,3 +1,3 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:1dba0174a596673117b14b7b97d27bbfef1928a94377b18b4cb849b9c8569b90
-size 102450913
+version https://git-lfs.github.com/spec/v1
+oid sha256:1dba0174a596673117b14b7b97d27bbfef1928a94377b18b4cb849b9c8569b90
+size 102450913
diff --git a/model.safetensors b/model.safetensors
index e4ee4cd..ca83e05 100644
--- a/model.safetensors
+++ b/model.safetensors
@@ -1,3 +1,3 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:9c6061af1f450bb0847e529fd742aa5066017be379c71bbf5546b198e5b13a1e
-size 102482854
+version https://git-lfs.github.com/spec/v1
+oid sha256:9c6061af1f450bb0847e529fd742aa5066017be379c71bbf5546b198e5b13a1e
+size 102482854
diff --git a/pytorch_model.bin b/pytorch_model.bin
index 7572107..cb04bcb 100644
--- a/pytorch_model.bin
+++ b/pytorch_model.bin
@@ -1,3 +1,3 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:ff8163a1323333126706d649ce73ecd76e45d241b42d623dea6c723690cafe07
-size 102567489
+version https://git-lfs.github.com/spec/v1
+oid sha256:ff8163a1323333126706d649ce73ecd76e45d241b42d623dea6c723690cafe07
+size 102567489
diff --git a/tf_model.h5 b/tf_model.h5
index 6dd46cc..87d844f 100644
--- a/tf_model.h5
+++ b/tf_model.h5
@@ -1,3 +1,3 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:57afa67ca9f9aa1657f38f100f8e5c7fc49550dafa7226793b48dae4426f5a69
-size 102753944
+version https://git-lfs.github.com/spec/v1
+oid sha256:57afa67ca9f9aa1657f38f100f8e5c7fc49550dafa7226793b48dae4426f5a69
+size 102753944