Rename nemo retriever references to nemotron

Dockerfile

@@ -8,11 +8,11 @@ ENV TORCH_CUDA_ARCH_LIST=${TORCH_CUDA_ARCH_LIST}
 RUN --mount=type=cache,target=/root/.cache/pip \
     pip install -U pip hatchling "setuptools>=68" --root-user-action ignore
 
-COPY nemo-retriever-ocr /workspace/nemo-retriever-ocr
-WORKDIR /workspace/nemo-retriever-ocr
+COPY nemotron-ocr /workspace/nemotron-ocr
+WORKDIR /workspace/nemotron-ocr
 
 # Ensure no prebuilt binaries/artifacts from the host are present
-RUN rm -f src/nemo_retriever_ocr_cpp/*.so || true \
+RUN rm -f src/nemotron_ocr_cpp/*.so || true \
     && rm -rf build/ dist/
 
 RUN --mount=type=cache,target=/root/.cache/pip \

README.md

@@ -35,7 +35,7 @@ The NeMo Retriever OCR v1 model is part of the NVIDIA NeMo Retriever collection
 
 This model is ready for commercial use.
 
-We are excited to announce the open sourcing of this commercial model. For users interested in deploying this model in production environments, it is also available via the model API in NVIDIA Inference Microservices (NIM) at [nemoretriever-ocr-v1](https://build.nvidia.com/nvidia/nemoretriever-ocr-v1).
+We are excited to announce the open sourcing of this commercial model. For users interested in deploying this model in production environments, it is also available via the model API in NVIDIA Inference Microservices (NIM) at [nemotron-ocr-v1](https://build.nvidia.com/nvidia/nemotron-ocr-v1).
 
 ### **License/Terms of use**
 
@@ -61,7 +61,7 @@ The **NeMo Retriever OCR v1** model is designed for high-accuracy and high-speed
 
 ### Release Date
 
-10/23/2025 via https://huggingface.co/nvidia/nemoretriever-ocr-v1
+10/23/2025 via https://huggingface.co/nvidia/nemotron-ocr-v1
 
 ### References
 
@@ -163,11 +163,11 @@ git lfs install
 ```
 - Using https
 ```
-git clone https://huggingface.co/nvidia/nemoretriever-ocr-v1
+git clone https://huggingface.co/nvidia/nemotron-ocr-v1
 ```
 - Or using ssh
 ```
-git clone git@hf.co:nvidia/nemoretriever-ocr-v1
+git clone git@hf.co:nvidia/nemotron-ocr-v1
 ```
 
 2. Installation
@@ -179,7 +179,7 @@ git clone git@hf.co:nvidia/nemoretriever-ocr-v1
 - Run the following command to install the package:
 
 ```bash
-cd nemo-retriever-ocr
+cd nemotron-ocr
 pip install hatchling
 pip install -v .
 ```
@@ -197,7 +197,7 @@ docker run --rm --gpus all nvcr.io/nvidia/pytorch:25.09-py3 nvidia-smi
 - From the repo root, bring up the service to run the example against the provided image `ocr-example-image.png`:
 
 ```bash
-docker compose run --rm nemo-retriever-ocr \
+docker compose run --rm nemotron-ocr \
   bash -lc "python example.py ocr-example-input-1.png --merge-level paragraph"
 ```
 
@@ -212,7 +212,7 @@ Output is saved next to your input image as `<name>-annotated.<ext>` on the host
 3. Run the model using the following code:
 
 ```python
-from nemo_retriever_ocr.inference.pipeline import NemoRetrieverOCR
+from nemotron_ocr.inference.pipeline import NemoRetrieverOCR
 
 ocr = NemoRetrieverOCR()
 
@@ -247,7 +247,7 @@ This AI model can be embedded as an Application Programming Interface (API) call
 
 ## Model Version(s):
 
-* `nemoretriever-ocr-v1`
+* `nemotron-ocr-v1`
 
 ## **Training and Evaluation Datasets:**
 

docker-compose.yaml

@@ -1,5 +1,5 @@
 services:
-  nemo-retriever-ocr:
+  nemotron-ocr:
     build:
       context: .
       dockerfile: Dockerfile

example.py

@@ -4,7 +4,7 @@
 
 import argparse
 
-from nemo_retriever_ocr.inference.pipeline import NemoRetrieverOCR
+from nemotron_ocr.inference.pipeline import NemoRetrieverOCR
 
 
 def main(image_path, merge_level, no_visualize, model_dir):

pixi.toml

@@ -1,7 +1,7 @@
 [workspace]
 authors = ["Charles Blackmon-Luca <20627856+charlesbluca@users.noreply.github.com>"]
 channels = ["conda-forge", "nvidia"]
-name = "nemo-retriever-ocr"
+name = "nemotron-ocr"
 platforms = ["linux-64"]
 version = "0.1.0"
 

quickstart.md

@@ -14,25 +14,25 @@ Create pixi environment and enter activated shell:
 pixi s
 ```
 
-Create a virtualenv and install nemo-retriever-ocr into it via `uv`:
+Create a virtualenv and install nemotron-ocr into it via `uv`:
 
 ```bash
 uv venv \
-&& uv pip install -e ./nemo-retriever-ocr -v
+&& uv pip install -e ./nemotron-ocr -v
 ```
 
 Assert that OCR inference libraries can now be imported successfully:
 
 ```bash
-uv run python -c "import nemo_retriever_ocr; import nemo_retriever_ocr_cpp"
+uv run python -c "import nemotron_ocr; import nemotron_ocr_cpp"
 ```
 
 ## Usage
 
-`nemo_retriever_ocr.inference.pipeline.NemoRetrieverOCR` is the main entry point for performing OCR inference; it can be used to iterate over predictions for a given input image:
+`nemotron_ocr.inference.pipeline.NemoRetrieverOCR` is the main entry point for performing OCR inference; it can be used to iterate over predictions for a given input image:
 
 ```python
-from nemo_retriever_ocr.inference.pipeline import NemoRetrieverOCR
+from nemotron_ocr.inference.pipeline import NemoRetrieverOCR
 
 ocr = NemoRetrieverOCR()