Release: v0.0.1

examples/sequence_classification/Prompt_Tuning.ipynb

@@ -13,7 +13,7 @@
     "import torch\n",
     "from torch.optim import AdamW\n",
     "from torch.utils.data import DataLoader\n",
-    "from peft import get_peft_config,get_peft_model, get_peft_model_state_dict, set_peft_model_state_dict, LoRAConfig, PeftType, \\\n",
+    "from peft import get_peft_config,get_peft_model, get_peft_model_state_dict, set_peft_model_state_dict, PeftType, \\\n",
     "PrefixTuningConfig, PromptEncoderConfig, PromptTuningConfig\n",
     "\n",
     "import evaluate\n",

setup.py

@@ -22,7 +22,7 @@ extras["dev"] = extras["quality"] + extras["docs_specific"]
 
 setup(
     name="peft",
-    version="0.1.0.dev0",
+    version="0.0.1",
     description="Parameter-Efficient Fine-Tuning (PEFT)",
     long_description=open("README.md", "r", encoding="utf-8").read(),
     long_description_content_type="text/markdown",

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__ = "0.0.1"
 
 from .mapping import MODEL_TYPE_TO_PEFT_MODEL_MAPPING, PEFT_TYPE_TO_CONFIG_MAPPING, get_peft_config, get_peft_model
 from .peft_model import (