Instructions to use automated-finetunning/test_model_uploading with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use automated-finetunning/test_model_uploading with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("automated-finetunning/test_model_uploading") model = AutoModelForSeq2SeqLM.from_pretrained("automated-finetunning/test_model_uploading", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from automated-finetunning/test_model_uploading: direct link, hf CLI and curl.
- Browser
- Download file 558 MB
-
https://huggingface.co/automated-finetunning/test_model_uploading/resolve/main/model.safetensors
- Command line
-
hf download hf://automated-finetunning/test_model_uploading/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/automated-finetunning/test_model_uploading/resolve/main/model.safetensors
558 MB
- Xet hash:
- 0e7bd0a5b6b3a6a053c76f2aaea9b449e27a02ee320c97940e838cb3bf1e5685
- Size of remote file:
- 558 MB
- SHA256:
- 1265bb0e066282f2593f9ecadc1f6e8fe05b3e4cc8473e114d14d2ab9208df99
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