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docs/configs/top-level.rst

@@ -11,16 +11,17 @@ The following options control the inference process:
 checkpoint:
 ===========
 
-The only compulsory option is ``checkpoint``, which specifies the checkpoint file. 
-It can be a path to a local file, or a huggingface config.
+The only compulsory option is ``checkpoint``, which specifies the
+checkpoint file. It can be a path to a local file, or a huggingface
+config.
 
 .. code:: yaml
 
    checkpoint: /path/to/checkpoint.ckpt
 
 .. code:: yaml
 
-   checkpoint: 
+   checkpoint:
       huggingface:
          repo_id: "ecmwf/aifs-single"
          filename: "aifs_single_v0.2.1.ckpt"

pyproject.toml

@@ -68,10 +68,9 @@ optional-dependencies.docs = [
   "sphinx-rtd-theme",
 ]
 
-optional-dependencies.plugin = [ "ai-models>=0.7", "tqdm" ]
-optional-dependencies.huggingface = [ "huggingface_hub" ]
-
+optional-dependencies.huggingface = [ "huggingface-hub" ]
 
+optional-dependencies.plugin = [ "ai-models>=0.7", "tqdm" ]
 optional-dependencies.tests = [ "anemoi-datasets[all]", "hypothesis", "pytest" ]
 
 urls.Documentation = "https://anemoi-inference.readthedocs.io/"

src/anemoi/inference/checkpoint.py

@@ -20,6 +20,7 @@
 
 LOG = logging.getLogger(__name__)
 
+
 def _download_huggingfacehub(huggingface_config):
     """Download model from huggingface"""
     try:
@@ -30,6 +31,7 @@ def _download_huggingfacehub(huggingface_config):
     config_path = hf_hub_download(**huggingface_config)
     return config_path
 
+
 class Checkpoint:
     """Represents an inference checkpoint."""
 
@@ -38,7 +40,7 @@ def __init__(self, model):
 
     def __repr__(self):
         return f"Checkpoint({self.path})"
-    
+
     @cached_property
     def path(self):
         import json
@@ -51,12 +53,11 @@ def path(self):
         if isinstance(self._model, str):
             return self._model
         elif isinstance(self._model, dict):
-            if 'huggingface' in self._model:
-                return _download_huggingfacehub(self._model['huggingface'])
+            if "huggingface" in self._model:
+                return _download_huggingfacehub(self._model["huggingface"])
             pass
         raise TypeError(f"Cannot parse model path: {self._model}. It must be a path or dict")
 
-
     @cached_property
     def _metadata(self):
         try:

src/anemoi/inference/config.py

@@ -12,7 +12,9 @@
 import datetime
 import logging
 import os
-from typing import Dict, Literal, Any
+from typing import Any
+from typing import Dict
+from typing import Literal
 
 import yaml
 from pydantic import BaseModel
@@ -27,7 +29,7 @@ class Config:
 
     description: str | None = None
 
-    checkpoint: str | Dict[Literal['huggingface'], Dict[str, Any]]
+    checkpoint: str | Dict[Literal["huggingface"], Dict[str, Any]]
     """A path to an Anemoi checkpoint file."""
 
     date: str | int | datetime.datetime | None = None