Spaces:
Running
Running
Update README.md
Browse files
README.md
CHANGED
|
@@ -18,12 +18,7 @@ enabling high performance and high efficiency to make the world smarter.
|
|
| 18 |
|
| 19 |
# Getting Started with Hugging Face Transformers
|
| 20 |
|
| 21 |
-
|
| 22 |
-
which offloads the host CPU and GPU from AI processing tasks. Ryzen™ AI software consists of the Vitis ™ AI
|
| 23 |
-
execution provider (EP) for ONNX Runtime combined with quantization tools and a pre-optimized model zoo.
|
| 24 |
-
All of this is made possible based on Ryzen™ AI technology built on AMD XDNA™ architecture,
|
| 25 |
-
purpose-built to run AI workloads efficiently and locally,
|
| 26 |
-
offering a host of benefits for the developer innovating the next groundbreaking AI app. Details on getting started
|
| 27 |
with Hugging Face models are available on the [Optimum page](https://huggingface.co/docs/optimum/main/en/amd/index)
|
| 28 |
|
| 29 |
The following section describes how to use the most common transformers on Hugging Face
|
|
|
|
| 18 |
|
| 19 |
# Getting Started with Hugging Face Transformers
|
| 20 |
|
| 21 |
+
Details on getting started
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 22 |
with Hugging Face models are available on the [Optimum page](https://huggingface.co/docs/optimum/main/en/amd/index)
|
| 23 |
|
| 24 |
The following section describes how to use the most common transformers on Hugging Face
|