Instructions to use mpajas/MathBERT_hr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mpajas/MathBERT_hr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="mpajas/MathBERT_hr")# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("mpajas/MathBERT_hr") model = AutoModelForPreTraining.from_pretrained("mpajas/MathBERT_hr") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:02577450bcd91100d0b25f22a0480dfaf2cddc4e35bf8cf973b74bb3772aa5e9
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size 440453984
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