Instructions to use AdamOswald1/Testing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AdamOswald1/Testing with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="AdamOswald1/Testing") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AdamOswald1/Testing", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 400 Bytes
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license: creativeml-openrail-m
tags:
- text-to-image
- image-classification
library_name: transformers
inference: true
datasets:
- AdamOswald1/autotrain-data-failure
- AdamOswald1/autotrain-data-testing
- AdamOswald1/autotrain-data-l
- AdamOswald1/autotrain-data-attempt
- AdamOswald1/autotrain-data-alt
- AdamOswald1/autotrain-data-testttt
- AdamOswald1/autotrain-data-let
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