Instructions to use AllanK24/tbs17-MathBERT-Math-Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AllanK24/tbs17-MathBERT-Math-Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AllanK24/tbs17-MathBERT-Math-Classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AllanK24/tbs17-MathBERT-Math-Classifier") model = AutoModelForSequenceClassification.from_pretrained("AllanK24/tbs17-MathBERT-Math-Classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from AllanK24/tbs17-MathBERT-Math-Classifier: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/AllanK24/tbs17-MathBERT-Math-Classifier/resolve/main/model.safetensors
- Command line
-
hf download hf://AllanK24/tbs17-MathBERT-Math-Classifier/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/AllanK24/tbs17-MathBERT-Math-Classifier/resolve/main/model.safetensors
438 MB
- Xet hash:
- 9615be93b640f1adb82746117f44aa76a47bf581f8af05441d8ec911bfe40c9e
- Size of remote file:
- 438 MB
- SHA256:
- bd3d1a8dbf142a11367ac29a1ec705dcce3dfc916ff91f35ef8896302b5b50d0
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