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:
- 8350c6374c4ecf9cbe07002b235633560cb8bf16a311cefcf6a57ac7d057a07f
- Size of remote file:
- 5.11 kB
- SHA256:
- c441383dc7a7ca6c5239c1fc80b585809f57351fe9d24977e0734f201d2aa4dd
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