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:
- 668d4b85792399a4d2f4604ca2c8ffd9eab41cbd2385422fd5d109850abe7f14
- Size of remote file:
- 177 MB
- SHA256:
- 5c6f965f64b3b15da9593e6a4f39a56123e4f20cc831bc01a748f642ec266699
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