Instructions to use Quexoo/vision-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Quexoo/vision-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Quexoo/vision-classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Quexoo/vision-classifier") model = AutoModelForSequenceClassification.from_pretrained("Quexoo/vision-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Quexoo/vision-classifier: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/Quexoo/vision-classifier/resolve/main/training_args.bin
- Command line
-
hf download hf://Quexoo/vision-classifier/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Quexoo/vision-classifier/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- 433b72d56594d803d2e8ee7487bb77be0e29117394dcc8db5045abef61dfe38c
- Size of remote file:
- 5.3 kB
- SHA256:
- 7107e0d919327d0bf4e5e201212fb3e0ae56fcb5d5c7c68553ebdfd66c443269
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