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 pytorch_model.bin from shauryr/arqmath-roberta-base: direct link, hf CLI and curl.
- Browser
- Download file 501 MB
-
https://huggingface.co/shauryr/arqmath-roberta-base/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://shauryr/arqmath-roberta-base/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/shauryr/arqmath-roberta-base/resolve/main/pytorch_model.bin
501 MB
- Xet hash:
- 5c6c036c5e66e88ab4dac7493b273ecfd578645952ba7117a0668b1e879250ed
- Size of remote file:
- 501 MB
- SHA256:
- da19d986a51814767052d93cfaf5488e94e67e79b0491eb1f7d4ec066e4dd904
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