Instructions to use AnReu/math_albert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnReu/math_albert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="AnReu/math_albert")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("AnReu/math_albert") model = AutoModel.from_pretrained("AnReu/math_albert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from AnReu/math_albert: direct link, hf CLI and curl.
- Browser
- Download file 47.5 MB
-
https://huggingface.co/AnReu/math_albert/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://AnReu/math_albert/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/AnReu/math_albert/resolve/main/pytorch_model.bin
47.5 MB
- Xet hash:
- 2021ec33e06b2abc49f3a58ec80da98b7265110cd84a962e767d0125abb67242
- Size of remote file:
- 47.5 MB
- SHA256:
- e6ef3aa1d575f97050c86eabea16de6da34b0a5e6dd576b6465cd84486581957
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