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 flax_model.msgpack from shauryr/arqmath-roberta-base: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/shauryr/arqmath-roberta-base/resolve/refs%2Fpr%2F1/flax_model.msgpack
- Command line
-
hf download hf://shauryr/arqmath-roberta-base@refs/pr/1/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/shauryr/arqmath-roberta-base/resolve/refs%2Fpr%2F1/flax_model.msgpack
499 MB
- Xet hash:
- 3edd377d10c962cb4d19321d4f823340b0957df68a4e304b89331a61cc82efa2
- Size of remote file:
- 499 MB
- SHA256:
- 809e49cc0cc5489b442cf868118046985442c8bfc204d866632a7b5b426d350c
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