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:
- 83c7f002098515a6f6d2f89715995e3d97a5a37ed048e66e880e8e2955a81474
- Size of remote file:
- 4.03 kB
- SHA256:
- 62ea49455a6f6d8325c41384092b057fd7b5ae26304ebc3385fb59d439ad2ff7
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