diff --git a/eland/ml/pytorch/nlp_ml_model.py b/eland/ml/pytorch/nlp_ml_model.py
index c485cbd..3de9e9b 100644
--- a/eland/ml/pytorch/nlp_ml_model.py
+++ b/eland/ml/pytorch/nlp_ml_model.py
@@ -123,6 +123,16 @@ class InferenceConfig:
             }
         }
 
+class SlimInferenceOptions(InferenceConfig):
+    def __init__(
+        self,
+        *,
+        tokenization: NlpTokenizationConfig,
+        results_field: t.Optional[str] = None,
+    ):
+        super().__init__(configuration_type="slim")
+        self.tokenization = tokenization
+        self.results_field = results_field
 
 class TextClassificationInferenceOptions(InferenceConfig):
     def __init__(
diff --git a/eland/ml/pytorch/transformers.py b/eland/ml/pytorch/transformers.py
index b8c4090..99fa738 100644
--- a/eland/ml/pytorch/transformers.py
+++ b/eland/ml/pytorch/transformers.py
@@ -49,6 +49,7 @@ from eland.ml.pytorch.nlp_ml_model import (
     NlpTrainedModelConfig,
     PassThroughInferenceOptions,
     QuestionAnsweringInferenceOptions,
+    SlimInferenceOptions,
     TextClassificationInferenceOptions,
     TextEmbeddingInferenceOptions,
     TextSimilarityInferenceOptions,
@@ -61,6 +62,7 @@ DEFAULT_OUTPUT_KEY = "sentence_embedding"
 SUPPORTED_TASK_TYPES = {
     "fill_mask",
     "ner",
+    "slim",
     "text_classification",
     "text_embedding",
     "zero_shot_classification",
@@ -83,6 +85,7 @@ ZERO_SHOT_LABELS = {"contradiction", "neutral", "entailment"}
 TASK_TYPE_TO_INFERENCE_CONFIG = {
     "fill_mask": FillMaskInferenceOptions,
     "ner": NerInferenceOptions,
+    "slim": SlimInferenceOptions,
     "text_classification": TextClassificationInferenceOptions,
     "text_embedding": TextEmbeddingInferenceOptions,
     "zero_shot_classification": ZeroShotClassificationInferenceOptions,