Instructions to use mor40/BulBERT-chitanka-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mor40/BulBERT-chitanka-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="mor40/BulBERT-chitanka-model")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("mor40/BulBERT-chitanka-model") model = AutoModelForMaskedLM.from_pretrained("mor40/BulBERT-chitanka-model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a45ed3d9bcc14c07f3bda5f4ba366dde5d99fc06c87cc0c416986896d4af66a0
- Size of remote file:
- 4.03 kB
- SHA256:
- 95e0e6880b2f4ed65bce9e4aab786a2bbf63473e36a3aecb028ce97a0f503158
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