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:
- 58a118e92790977c43a94c1ccd06a6dabd584d02c6fe2f5e8f48ab0f01a97993
- Size of remote file:
- 199 MB
- SHA256:
- 0da78e5636b4324cedce1c180eeb04a7a26fe214c28df6ef6ea58c0fecec4130
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