Instructions to use AshenR/Sinberto with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AshenR/Sinberto with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="AshenR/Sinberto")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("AshenR/Sinberto") model = AutoModelForMaskedLM.from_pretrained("AshenR/Sinberto", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7eb09aca5a79ca7de6ef04154783bb9419d093bd6ef900b0c7045ca094102446
- Size of remote file:
- 199 MB
- SHA256:
- f7be900f8167a0f42dbc6292c2b4740855f48a2906d00c0b7cabd3b875ec66ad
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