Instructions to use abbassix/arithmetic_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abbassix/arithmetic_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="abbassix/arithmetic_model")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("abbassix/arithmetic_model") model = AutoModelForMaskedLM.from_pretrained("abbassix/arithmetic_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e8c1005178a6858383bcc2707800703b0d133971b8b50849b1b8ea2ddec28577
- Size of remote file:
- 438 MB
- SHA256:
- 062adffcd9468abba5697a0e352b04f6494825162a16791f9c9f0872609c34ab
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