Instructions to use joheras/Mapi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use joheras/Mapi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="joheras/Mapi")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("joheras/Mapi") model = AutoModelForMaskedLM.from_pretrained("joheras/Mapi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 508684fb25b609cd8d947743e7b225d8da22aa90137bc0dd98cfd1f986787789
- Size of remote file:
- 2.48 kB
- SHA256:
- 701095512810086b8f51e93fff5056c42d995c391dc61990ef9225e968917c51
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