Instructions to use DioLiu/distilroberta-base-OnlyShakeMask with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DioLiu/distilroberta-base-OnlyShakeMask with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="DioLiu/distilroberta-base-OnlyShakeMask")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("DioLiu/distilroberta-base-OnlyShakeMask") model = AutoModelForMaskedLM.from_pretrained("DioLiu/distilroberta-base-OnlyShakeMask", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from DioLiu/distilroberta-base-OnlyShakeMask: direct link, hf CLI and curl.
- Browser
- Download file 329 MB
-
https://huggingface.co/DioLiu/distilroberta-base-OnlyShakeMask/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://DioLiu/distilroberta-base-OnlyShakeMask/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/DioLiu/distilroberta-base-OnlyShakeMask/resolve/main/pytorch_model.bin
329 MB
- Xet hash:
- ceb49a6e0a13cac38edc3a17bbfeb6ffa252506f28e9195110cd0d8b83085533
- Size of remote file:
- 329 MB
- SHA256:
- 2177ec67908f2591f382517a06008cbee49a711265964a1913003625bbe77359
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.