Instructions to use fxmarty/tiny-testing-remote-code with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fxmarty/tiny-testing-remote-code with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="fxmarty/tiny-testing-remote-code", trust_remote_code=True) pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("fxmarty/tiny-testing-remote-code", trust_remote_code=True) model = AutoModelForImageClassification.from_pretrained("fxmarty/tiny-testing-remote-code", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 389 Bytes
74b941a cd555aa 74b941a cd555aa 74b941a | 1 2 3 4 5 6 7 8 9 10 11 12 | from transformers import AutoConfig
from modeling.modeling_resnet import ResNetCustomForImageClassification
cfg = AutoConfig.from_pretrained("microsoft/resnet-18")
ResNetCustomForImageClassification.register_for_auto_class("AutoModelForImageClassification")
model = ResNetCustomForImageClassification(cfg)
model.save_pretrained("/home/fxmarty/hf_internship/tiny-testing-remote-code")
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