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 pytorch_model.bin from DioLiu/SimpleDataset: direct link, hf CLI and curl.
- Browser
- Download file 329 MB
-
https://huggingface.co/DioLiu/SimpleDataset/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://DioLiu/SimpleDataset@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/DioLiu/SimpleDataset/resolve/refs%2Fpr%2F1/pytorch_model.bin
329 MB
- Xet hash:
- 4c5aeb8e37987f0dda4ead5b7907e3accbdfd6598ede15b00c9dd9172181c40c
- Size of remote file:
- 329 MB
- SHA256:
- c45e963a22d5744e4917c4e8974360ab0fe50acea69f2b12bb6e9b8159ffef74
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