Instructions to use shauryr/arqmath-roberta-base-2M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shauryr/arqmath-roberta-base-2M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="shauryr/arqmath-roberta-base-2M")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("shauryr/arqmath-roberta-base-2M") model = AutoModelForMaskedLM.from_pretrained("shauryr/arqmath-roberta-base-2M", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from shauryr/arqmath-roberta-base-2M: direct link, hf CLI and curl.
- Browser
- Download file 501 MB
-
https://huggingface.co/shauryr/arqmath-roberta-base-2M/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://shauryr/arqmath-roberta-base-2M/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/shauryr/arqmath-roberta-base-2M/resolve/main/pytorch_model.bin
501 MB
- Xet hash:
- 4671c88798f87ae2d9f49c2383474dd7163c14bea4c3afa6b62896868b154f22
- Size of remote file:
- 501 MB
- SHA256:
- dd57134ecc056010503a61e0cfaefbc88b4fe45f1d7db9f1c0d0140c2d875bfe
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