Instructions to use quantumLeopard/calculator_model_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use quantumLeopard/calculator_model_test with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("quantumLeopard/calculator_model_test") model = AutoModelForSeq2SeqLM.from_pretrained("quantumLeopard/calculator_model_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 652842610443b95d590bb12e87e4d5363f566c9ad3ff564b27d34bee1b641529
- Size of remote file:
- 5.33 kB
- SHA256:
- 1ae3634dcf808f6bd589e3deaafead2bf08df4bcac2fd4fca53974f7a52dce8a
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