updates more anchors (#596)

06_gpu_and_ml/batch_inference/batch_inference_using_huggingface.py

@@ -184,5 +184,5 @@ def main():
 # Every container downloads the model when it starts, which is a bit inefficient.
 # In order to improve this, what you could do is store the model in the image that
 # backs each container.
-# See [`Image.run_function`](/docs/guide/custom-container#running-a-function-as-a-build-step-beta).
+# See [`Image.run_function`](/docs/guide/custom-container#run-a-modal-function-during-your-build-with-run_function-beta).
 #

06_gpu_and_ml/llm-serving/falcon_gptq.py

@@ -34,7 +34,7 @@ def download_model():
 
 # Now, we define our image. We'll use the `debian-slim` base image, and install the dependencies we need
 # using [`pip_install`](/docs/reference/modal.Image#pip_install). At the end, we'll use
-# [`run_function`](/docs/guide/custom-container#running-a-function-as-a-build-step-beta) to run the
+# [`run_function`](/docs/guide/custom-container#run-a-modal-function-during-your-build-with-run_function-beta) to run the
 # function defined above as part of the image build.
 
 image = (

06_gpu_and_ml/llm-serving/openllama.py

@@ -33,7 +33,7 @@ def download_models():
 
 # Now, we define our image. We'll use the `debian-slim` base image, and install the dependencies we need
 # using [`pip_install`](/docs/reference/modal.Image#pip_install). At the end, we'll use
-# [`run_function`](/docs/guide/custom-container#running-a-function-as-a-build-step-beta) to run the
+# [`run_function`](/docs/guide/custom-container#run-a-modal-function-during-your-build-with-run_function-beta) to run the
 # function defined above as part of the image build.
 
 image = (