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")# 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
- Xet hash:
- ccae9c9cbf5266d9a53659d5c737d2d9f2fc60de9a522b1c9344abbf321df6e7
- Size of remote file:
- 499 MB
- SHA256:
- aa8b804d4a61d340db334918a1a9c033cebbf7fb5715db82a7daaa8265d5218a
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