Instructions to use AnReu/albert-for-math-ar-base-ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnReu/albert-for-math-ar-base-ft with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnReu/albert-for-math-ar-base-ft")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnReu/albert-for-math-ar-base-ft") model = AutoModelForSequenceClassification.from_pretrained("AnReu/albert-for-math-ar-base-ft", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (dfc5d1f54f79e6a6e80d5f39045650846ee5298e) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>f4b00c8
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support for fast tokenizer
Anja Reusch2ddcf16 -
Merge branch 'main' of https://huggingface.co/AnReu/albert-for-math-ar-base-ft into main
Anja Reuschdf11351 -
added tokenizer
Anja Reuschd4dde7e
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Update README.md
536f16b -
Update README.md
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Update README.md
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Create README.md
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added model
Anja Reusch6a9c8f0 -
initial commit
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