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 optimizer.pt from shauryr/arqmath-roberta-base-2M: direct link, hf CLI and curl.
- Browser
- Download file 998 MB
-
https://huggingface.co/shauryr/arqmath-roberta-base-2M/resolve/main/optimizer.pt
- Command line
-
hf download hf://shauryr/arqmath-roberta-base-2M/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/shauryr/arqmath-roberta-base-2M/resolve/main/optimizer.pt
998 MB
- Xet hash:
- 414b14a09e86852ba70cd2df02191194e71ae297381a712101c7a5caf4d2a969
- Size of remote file:
- 998 MB
- SHA256:
- ac1cc2022729f338d4bd5f5cea396a2b4de10bb5a0d69f4e6bd3f2cb071807d3
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