Instructions to use nvidia/MambaVision-L3-512-21K with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nvidia/MambaVision-L3-512-21K with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="nvidia/MambaVision-L3-512-21K", trust_remote_code=True) pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoModelForImageClassification model = AutoModelForImageClassification.from_pretrained("nvidia/MambaVision-L3-512-21K", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Update pipeline tag and add library name, results and installation instructions
#2
by nielsr HF Staff - opened
This PR updates the pipeline_tag to image-classification to better reflect the model's primary use case, as demonstrated in the paper and README.
It also adds the library_name to the metadata.
Finally, it adds the results from the Github README to the model card, and installation instructions.
ahatamiz changed pull request status to merged