Create README.md

README.md

@@ -0,0 +1,36 @@
+```python
+model_id = "mgoin/starcoderbase-1b-pruned50-quant"
+
+# Load model with SparseAutoModel
+from sparseml.transformers.utils import SparseAutoModel
+from transformers import AutoConfig
+
+config = AutoConfig.from_pretrained(model_id)  # Why does SparseAutoModel need config?
+model = SparseAutoModel.text_generation_from_pretrained(model_id, config=config)
+
+# Apply recipe to model
+# Note: Really annoying we can't grab the recipe.yaml present in the uploaded model
+# and you need this separate apply_recipe_structure_to_model function
+from sparseml.pytorch.model_load.helpers import apply_recipe_structure_to_model
+from huggingface_hub import hf_hub_download
+import os
+
+recipe_path = hf_hub_download(repo_id=model_id, filename="recipe.yaml")
+apply_recipe_structure_to_model(
+    model=model, recipe_path=recipe_path, model_path=os.path.dirname(recipe_path)
+)
+
+# Regular HF inference
+from transformers import AutoTokenizer
+
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+inputs = tokenizer.encode("def print_hello_world():", return_tensors="pt")
+outputs = model.generate(inputs)
+print(tokenizer.decode(outputs[0]))
+"""
+def print_hello_world():
+    print("Hello World!")
+
+print_hello_world
+"""
+```