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 training_args.bin from AllanK24/tbs17-MathBERT-Math-Classifier: direct link, hf CLI and curl.
- Browser
- Download file 5.43 kB
-
https://huggingface.co/AllanK24/tbs17-MathBERT-Math-Classifier/resolve/main/training_args.bin
- Command line
-
hf download hf://AllanK24/tbs17-MathBERT-Math-Classifier/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/AllanK24/tbs17-MathBERT-Math-Classifier/resolve/main/training_args.bin
5.43 kB
- Xet hash:
- e5bfa2c74e6aaf18eeeb7de359c1b97a807a3d90c9e3c9489884f2065f99a90c
- Size of remote file:
- 5.43 kB
- SHA256:
- b806181463719b910eb1f8421e26c402b2167adfc27fe59e920ec1f7c1794dbf
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