Instructions to use DGurgurov/mbert_sin-sinh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DGurgurov/mbert_sin-sinh with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="DGurgurov/mbert_sin-sinh")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("DGurgurov/mbert_sin-sinh") model = AutoModelForMaskedLM.from_pretrained("DGurgurov/mbert_sin-sinh", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c053c031bdbed05605bda141704449194eb17f6e37ec00a01ff58c0a15ab070b
- Size of remote file:
- 5.18 kB
- SHA256:
- 1056d59715a941f70ec0033ff15f931ca0eddd15f5e9db69ea3997d4137f8edf
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