Instructions to use pillIdentifierAI/pillIdentifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pillIdentifierAI/pillIdentifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="pillIdentifierAI/pillIdentifier") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("pillIdentifierAI/pillIdentifier") model = AutoModelForImageClassification.from_pretrained("pillIdentifierAI/pillIdentifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download version2/training_args.bin from pillIdentifierAI/pillIdentifier: direct link, hf CLI and curl.
- Browser
- Download file 4.66 kB
-
https://huggingface.co/pillIdentifierAI/pillIdentifier/resolve/main/version2/training_args.bin
- Command line
-
hf download hf://pillIdentifierAI/pillIdentifier/version2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/pillIdentifierAI/pillIdentifier/resolve/main/version2/training_args.bin
4.66 kB
- Xet hash:
- a611aae2426096bee14627c54851f01140d745e022fbbdb0ba45be2adbae6895
- Size of remote file:
- 4.66 kB
- SHA256:
- 218e913cc292a5fa1205d9e89075ac08397777bf4550ff82a6ba0d066e72e679
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.