Instructions to use xvisox/calculator_model_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xvisox/calculator_model_test with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("xvisox/calculator_model_test") model = AutoModelForSeq2SeqLM.from_pretrained("xvisox/calculator_model_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- abeb06e604a02dcabcf83fbf26b6c3bc649c9c31c08f5e75810828757d871fd0
- Size of remote file:
- 5.33 kB
- SHA256:
- 63a5cb2961dc3ce636e28a2d076f0a369885e67bb3d6f15036e6da9c5ebb8d4d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.