Instructions to use malteos/arqmath-bert-base-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use malteos/arqmath-bert-base-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="malteos/arqmath-bert-base-cased")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("malteos/arqmath-bert-base-cased") model = AutoModelForSequenceClassification.from_pretrained("malteos/arqmath-bert-base-cased") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 36b7949b59fb61758b1feb41d96f2013661fdc9da42b4e29d20101dbf0e329ba
- Size of remote file:
- 433 MB
- SHA256:
- 38ddc03a0e34ae5a47589c38604200ab8e4d7737421af68687bcef2087124baa
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