Instructions to use ddrg/math_structure_bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ddrg/math_structure_bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ddrg/math_structure_bert")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("ddrg/math_structure_bert") model = AutoModel.from_pretrained("ddrg/math_structure_bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ddrg/math_structure_bert: direct link, hf CLI and curl.
- Browser
- Download file 434 MB
-
https://huggingface.co/ddrg/math_structure_bert/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ddrg/math_structure_bert/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ddrg/math_structure_bert/resolve/main/pytorch_model.bin
434 MB
- Xet hash:
- 186dcaeb221450902944bd4e2536dceccbb4b55ba752474beb27cfcba656f1e7
- Size of remote file:
- 434 MB
- SHA256:
- 7ad0e71c27c6fb4af46a1c398603e50805a68b79af61bb3543e9bcc86b4b6166
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