Instructions to use chojo12/cppe5_use_data_finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chojo12/cppe5_use_data_finetuning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="chojo12/cppe5_use_data_finetuning")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("chojo12/cppe5_use_data_finetuning") model = AutoModelForObjectDetection.from_pretrained("chojo12/cppe5_use_data_finetuning", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from chojo12/cppe5_use_data_finetuning: direct link, hf CLI and curl.
- Browser
- Download file 167 MB
-
https://huggingface.co/chojo12/cppe5_use_data_finetuning/resolve/8ea85dcdd36ff8a4d2ab5f68c067caaa366adc3a/pytorch_model.bin
- Command line
-
hf download hf://chojo12/cppe5_use_data_finetuning@8ea85dcdd36ff8a4d2ab5f68c067caaa366adc3a/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/chojo12/cppe5_use_data_finetuning/resolve/8ea85dcdd36ff8a4d2ab5f68c067caaa366adc3a/pytorch_model.bin
167 MB
- Xet hash:
- 24f2e012736a2fea00c7019e2ac9b352c2d6adc96083e916af910f06b07fabcc
- Size of remote file:
- 167 MB
- SHA256:
- 2464b675c6832781103c4622a78c965f5b94817fceabd09eea5aaa14bcfe2e38
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