Instructions to use BigSalmon/Robertsy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BigSalmon/Robertsy with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="BigSalmon/Robertsy")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("BigSalmon/Robertsy") model = AutoModelForMaskedLM.from_pretrained("BigSalmon/Robertsy", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from BigSalmon/Robertsy: direct link, hf CLI and curl.
- Browser
- Download file 2.48 kB
-
https://huggingface.co/BigSalmon/Robertsy/resolve/main/training_args.bin
- Command line
-
hf download hf://BigSalmon/Robertsy/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/BigSalmon/Robertsy/resolve/main/training_args.bin
2.48 kB
- Xet hash:
- b6bbf7c3664c94fe472a2833a5989cd0a279dd218209e0e20b81e05996de949d
- Size of remote file:
- 2.48 kB
- SHA256:
- be5c1fb45816c1b6da4e034c438a628b23fe229066c7d7d49bfc2abf322c06f0
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