Instructions to use Ifenna/dbert-3epoch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ifenna/dbert-3epoch with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Ifenna/dbert-3epoch")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Ifenna/dbert-3epoch") model = AutoModelForQuestionAnswering.from_pretrained("Ifenna/dbert-3epoch", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Ifenna/dbert-3epoch: direct link, hf CLI and curl.
- Browser
- Download file 3.06 kB
-
https://huggingface.co/Ifenna/dbert-3epoch/resolve/c1099386ff0ed54caf1ec8ef8f138af647005a44/training_args.bin
- Command line
-
hf download hf://Ifenna/dbert-3epoch@c1099386ff0ed54caf1ec8ef8f138af647005a44/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Ifenna/dbert-3epoch/resolve/c1099386ff0ed54caf1ec8ef8f138af647005a44/training_args.bin
3.06 kB
- Xet hash:
- 379e1d9d47ccfe102523c0051e8a7941f656bc2de7519115436cb96306a320de
- Size of remote file:
- 3.06 kB
- SHA256:
- 5fa93a8c278ff226fdcfb433c38f163ba984f4f33eadf33087ec77191ecebc48
路
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