Instructions to use hf-internal-testing/tiny-random-ConditionalDetrModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-ConditionalDetrModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="hf-internal-testing/tiny-random-ConditionalDetrModel")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("hf-internal-testing/tiny-random-ConditionalDetrModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-ConditionalDetrModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from hf-internal-testing/tiny-random-ConditionalDetrModel: direct link, hf CLI and curl.
- Browser
- Download file 106 MB
-
https://huggingface.co/hf-internal-testing/tiny-random-ConditionalDetrModel/resolve/920d12d8247f043c658ce32e06c873bd87d8067e/pytorch_model.bin
- Command line
-
hf download hf://hf-internal-testing/tiny-random-ConditionalDetrModel@920d12d8247f043c658ce32e06c873bd87d8067e/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/hf-internal-testing/tiny-random-ConditionalDetrModel/resolve/920d12d8247f043c658ce32e06c873bd87d8067e/pytorch_model.bin
106 MB
- Xet hash:
- 2fe84b22384418e818be76e3eee733dcf8393d4631fb165e458995143ee8a373
- Size of remote file:
- 106 MB
- SHA256:
- bc3107da1f378ec5becedde9e29703ef61f8a3028b699794a6a1a4d9943aa08e
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