Instructions to use AnReu/math_pretrained_roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnReu/math_pretrained_roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="AnReu/math_pretrained_roberta")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("AnReu/math_pretrained_roberta") model = AutoModelForMaskedLM.from_pretrained("AnReu/math_pretrained_roberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from AnReu/math_pretrained_roberta: direct link, hf CLI and curl.
- Browser
- Download file 500 MB
-
https://huggingface.co/AnReu/math_pretrained_roberta/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://AnReu/math_pretrained_roberta/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/AnReu/math_pretrained_roberta/resolve/main/pytorch_model.bin
500 MB
- Xet hash:
- 84ffff98c47f48c14d463c95acf4dbd9075d55b0f0f6df30b5da737bc070b05e
- Size of remote file:
- 500 MB
- SHA256:
- df32449503572d7b22039078e82b1e8a30fc93b85aa0fcc90594943ed5cc4404
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