Instructions to use AnReu/math_pretrained_bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnReu/math_pretrained_bert with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("AnReu/math_pretrained_bert") model = AutoModelForPreTraining.from_pretrained("AnReu/math_pretrained_bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from AnReu/math_pretrained_bert: direct link, hf CLI and curl.
- Browser
- Download file 437 MB
-
https://huggingface.co/AnReu/math_pretrained_bert/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://AnReu/math_pretrained_bert/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/AnReu/math_pretrained_bert/resolve/main/pytorch_model.bin
437 MB
- Xet hash:
- d2ae441e7c269afb18dd8544fd65eee9f3ca058c075aa80d5bf030456e1a5f42
- Size of remote file:
- 437 MB
- SHA256:
- 7c65144bc6cdec8283a468f3683846f83297d3046654598fbd5c7e54accce06f
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