Instructions to use BigSalmon/GoodMaskResults with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BigSalmon/GoodMaskResults with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="BigSalmon/GoodMaskResults")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("BigSalmon/GoodMaskResults") model = AutoModelForMaskedLM.from_pretrained("BigSalmon/GoodMaskResults", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from BigSalmon/GoodMaskResults: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/BigSalmon/GoodMaskResults/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://BigSalmon/GoodMaskResults/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/BigSalmon/GoodMaskResults/resolve/main/pytorch_model.bin
499 MB
- Xet hash:
- f313879473508741db4ee2350eb2097593faee7219c0fba9dbfdfa9cca89418b
- Size of remote file:
- 499 MB
- SHA256:
- ffe305b295c709cf2520d570f17155181f836aa257b60e53cb471f44a9e6a73f
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