From d1735e098ce0e8b0b0512baad6b67e766debd46e Mon Sep 17 00:00:00 2001 From: Sourab Mangrulkar <13534540+pacman100@users.noreply.github.com> Date: Fri, 10 Feb 2023 15:43:06 +0530 Subject: [PATCH 1/2] release v0.2.0.dev0 --- setup.py | 2 +- src/peft/__init__.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/setup.py b/setup.py index fedd8e3..575d265 100644 --- a/setup.py +++ b/setup.py @@ -22,7 +22,7 @@ extras["dev"] = extras["quality"] + extras["docs_specific"] setup( name="peft", - version="0.1.0.dev0", + version="0.2.0.dev0", description="Parameter-Efficient Fine-Tuning (PEFT)", long_description=open("README.md", "r", encoding="utf-8").read(), long_description_content_type="text/markdown", diff --git a/src/peft/__init__.py b/src/peft/__init__.py index c35eb32..df42cef 100644 --- a/src/peft/__init__.py +++ b/src/peft/__init__.py @@ -17,7 +17,7 @@ # See the License for the specific language governing permissions and # limitations under the License. -__version__ = "0.1.0.dev0" +__version__ = "0.2.0.dev0" from .mapping import MODEL_TYPE_TO_PEFT_MODEL_MAPPING, PEFT_TYPE_TO_CONFIG_MAPPING, get_peft_config, get_peft_model from .peft_model import ( From 45186ee04eea3207265264337ac644559551bdb3 Mon Sep 17 00:00:00 2001 From: Sayak Paul Date: Sat, 11 Feb 2023 15:02:53 +0530 Subject: [PATCH 2/2] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 047ed11..f0ebb24 100644 --- a/README.md +++ b/README.md @@ -269,7 +269,7 @@ An example is provided in `~examples/causal_language_modeling/peft_lora_clm_acce | ViT | ✅ | | | | | Swin | ✅ | | | | -___Note that we have tested LoRA for https://huggingface.co/docs/transformers/model_doc/vit and [https://huggingface.co/docs/transformers/model_doc/swin] for fine-tuning on image classification. However, it should be possible to use LoRA for any compatible model [provided](https://huggingface.co/models?pipeline_tag=image-classification&sort=downloads&search=vit) by 🤗 Transformers. Check out the respective +___Note that we have tested LoRA for [ViT](https://huggingface.co/docs/transformers/model_doc/vit) and [Swin](https://huggingface.co/docs/transformers/model_doc/swin) for fine-tuning on image classification. However, it should be possible to use LoRA for any compatible model [provided](https://huggingface.co/models?pipeline_tag=image-classification&sort=downloads&search=vit) by 🤗 Transformers. Check out the respective examples to learn more. If you run into problems, please open an issue.___ The same principle applies to our [segmentation models](https://huggingface.co/models?pipeline_tag=image-segmentation&sort=downloads) as well.