Instructions to use shauryr/arqmath-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shauryr/arqmath-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="shauryr/arqmath-roberta-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("shauryr/arqmath-roberta-base") model = AutoModelForMaskedLM.from_pretrained("shauryr/arqmath-roberta-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from shauryr/arqmath-roberta-base: direct link, hf CLI and curl.
- Browser
- Download file 1 kB
-
https://huggingface.co/shauryr/arqmath-roberta-base/resolve/main/training_args.bin
- Command line
-
hf download hf://shauryr/arqmath-roberta-base/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/shauryr/arqmath-roberta-base/resolve/main/training_args.bin
1 kB
- Xet hash:
- 81f9a581bf55e8bfca1207a330d4d596fcba6205b0e3bf8bc4e70e7bb82d1918
- Size of remote file:
- 1 kB
- SHA256:
- 4afa09238d81526a6ee6f29340b0fd622e1ea5a721a2a53e5f0d1b63d7ab37c4
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