Instructions to use timm/inception_next_tiny.sail_in1k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use timm/inception_next_tiny.sail_in1k with timm:
import timm model = timm.create_model("hf_hub:timm/inception_next_tiny.sail_in1k", pretrained=True) - Transformers
How to use timm/inception_next_tiny.sail_in1k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="timm/inception_next_tiny.sail_in1k") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("timm/inception_next_tiny.sail_in1k", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Add image-classification pipeline tag
#1
by nielsr HF Staff - opened
This PR adds the pipeline_tag: image-classification to the model card metadata. This will improve the model's discoverability through the Hugging Face model search functionality. The tag was already present in the tags section, but adding it as a pipeline tag makes it more visible and searchable.