Bump transformers, diffusers, sentence-transformers et al.

Author: alvarobartt

setup.py

@@ -5,16 +5,16 @@
 # We don't declare our dependency on transformers here because we build with
 # different packages for different variants
 
-VERSION = "0.5.4"
+VERSION = "0.5.5"
 
 # Ubuntu packages
 # libsndfile1-dev: torchaudio requires the development version of the libsndfile package which can be installed via a system package manager. On Ubuntu it can be installed as follows: apt install libsndfile1-dev
 # ffmpeg: ffmpeg is required for audio processing. On Ubuntu it can be installed as follows: apt install ffmpeg
 # libavcodec-extra : libavcodec-extra  includes additional codecs for ffmpeg
 
 install_requires = [
-    "transformers[sklearn,sentencepiece,audio,vision]==4.48.0",
-    "huggingface_hub[hf_transfer]==0.27.1",
+    "transformers[sklearn,sentencepiece,audio,vision]==4.49.0",
+    "huggingface_hub[hf_transfer]==0.29.2",
     # vision
     "Pillow",
     "librosa",
@@ -31,8 +31,8 @@
 
 extras = {}
 
-extras["st"] = ["sentence_transformers==3.3.1"]
-extras["diffusers"] = ["diffusers==0.32.1", "accelerate==1.2.1"]
+extras["st"] = ["sentence_transformers==3.4.1"]
+extras["diffusers"] = ["diffusers==0.32.2", "accelerate==1.4.0"]
 # Includes `peft` as PEFT requires `torch` so having `peft` as a core dependency
 # means that `torch` will be installed even if the `torch` extra is not specified.
 extras["torch"] = ["torch==2.3.1", "torchvision", "torchaudio", "peft==0.14.0"]
@@ -57,7 +57,7 @@
     version=VERSION,
     author="Hugging Face",
     description="Hugging Face Inference Toolkit is for serving 🤗 Transformers models in containers.",
-    url="",
+    url="https://github.com/huggingface/huggingface-inference-toolkit",
     package_dir={"": "src"},
     packages=find_packages(where="src"),
     install_requires=install_requires,