feat: HF_TransformersClassifierProvider - allows local path

https://github.com/ltdrdata/ComfyUI-Impact-Pack/issues/645

README.md

@@ -257,7 +257,7 @@ This custom node helps to conveniently enhance images through Detector, Detailer
 
 ### HuggingFace nodes
   * These nodes provide functionalities based on HuggingFace repository models.
-  * The path where the HuggingFace model cache is stored can be changed through the `TRANSFORMERS_CACHE` environment variable.
+  * The path where the HuggingFace model cache is stored can be changed through the `HF_HOME` environment variable.
   * `HF Transformers Classifier Provider` - This is a node that provides a classifier based on HuggingFace's transformers models.
     * The 'repo id' parameter should contain HuggingFace's repo id. When `preset_repo_id` is set to `Manual repo id`, use the manually entered repo id in `manual_repo_id`.
     * e.g. 'rizvandwiki/gender-classification-2' is a repository that provides a model for gender classification.

modules/impact/config.py

@@ -1,7 +1,7 @@
 import configparser
 import os
 
-version_code = [5, 13, 4]
+version_code = [5, 14]
 version = f"V{version_code[0]}.{version_code[1]}" + (f'.{version_code[2]}' if len(version_code) > 2 else '')
 
 dependency_version = 21

modules/impact/hf_nodes.py

@@ -42,7 +42,7 @@ class HF_TransformersClassifierProvider:
         else:
             device = "cpu"
 
-        classifier = pipeline(model=url, device=device)
+        classifier = pipeline('image-classification', model=url, device=device)
 
         return (classifier,)
 

pyproject.toml

@@ -1,7 +1,7 @@
 [project]
 name = "comfyui-impact-pack"
 description = "This extension offers various detector nodes and detailer nodes that allow you to configure a workflow that automatically enhances facial details. And provide iterative upscaler."
-version = "5.13.4"
+version = "5.14"
 license = "LICENSE"
 dependencies = ["segment-anything", "scikit-image", "piexif", "transformers", "opencv-python-headless", "GitPython", "scipy>=1.11.4"]