Instructions to use ebayes/amazonas-fern-latest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ebayes/amazonas-fern-latest with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="ebayes/amazonas-fern-latest") 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("ebayes/amazonas-fern-latest") model = AutoModelForImageClassification.from_pretrained("ebayes/amazonas-fern-latest", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ebayes/amazonas-fern-latest: direct link, hf CLI and curl.
- Browser
- Download file 4.98 kB
-
https://huggingface.co/ebayes/amazonas-fern-latest/resolve/main/training_args.bin
- Command line
-
hf download hf://ebayes/amazonas-fern-latest/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ebayes/amazonas-fern-latest/resolve/main/training_args.bin
4.98 kB
- Xet hash:
- 3ade5f4c74a44cccd9d1283c3d08915b32221213d7a4cd837ad5c9d7ec34c3a1
- Size of remote file:
- 4.98 kB
- SHA256:
- 8f144fa8e1cad36b5089cef52a76f112391aa583744918751e65c6f46e11c6aa
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