Instructions to use Anthony-Pulla/study with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Anthony-Pulla/study with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Anthony-Pulla/study") 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("Anthony-Pulla/study") model = AutoModelForImageClassification.from_pretrained("Anthony-Pulla/study", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Anthony-Pulla/study: direct link, hf CLI and curl.
- Browser
- Download file 4.86 kB
-
https://huggingface.co/Anthony-Pulla/study/resolve/main/training_args.bin
- Command line
-
hf download hf://Anthony-Pulla/study/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Anthony-Pulla/study/resolve/main/training_args.bin
4.86 kB
- Xet hash:
- 12993a0089b79ae94ee2c17883560913204d8e0834a0073054223cbe5060733c
- Size of remote file:
- 4.86 kB
- SHA256:
- faba3b1f56052022d090660c620ac72990bc37827993460a5734040b5150dc89
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