Instructions to use DioLiu/SimpleDataset with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DioLiu/SimpleDataset with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="DioLiu/SimpleDataset")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("DioLiu/SimpleDataset") model = AutoModelForMaskedLM.from_pretrained("DioLiu/SimpleDataset", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from DioLiu/SimpleDataset: direct link, hf CLI and curl.
- Browser
- Download file 3.06 kB
-
https://huggingface.co/DioLiu/SimpleDataset/resolve/refs%2Fpr%2F1/training_args.bin
- Command line
-
hf download hf://DioLiu/SimpleDataset@refs/pr/1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/DioLiu/SimpleDataset/resolve/refs%2Fpr%2F1/training_args.bin
3.06 kB
- Xet hash:
- fd3749ea20ce40e45be66ee7010a19b5bd1d8075b8131cee8af39454c0ce80d5
- Size of remote file:
- 3.06 kB
- SHA256:
- 8e420689afa80678abb99787bee691d1b6add62b68373f3ef63b93b774f55ad7
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