Instructions to use pavelpuf/calculator_model_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pavelpuf/calculator_model_test with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("pavelpuf/calculator_model_test") model = AutoModelForSeq2SeqLM.from_pretrained("pavelpuf/calculator_model_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f19d8177e310c49575f4253090efc0b8b96daf12561383a7fe7125c7f133b71e
- Size of remote file:
- 5.33 kB
- SHA256:
- fa5be7240bd60ede8b69ba3c827372c2da16f3cd7581096947f35f77ec4af9ce
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