Fill-Mask
Transformers
ONNX
Safetensors
Bashkir
bashkir-roberta-preln
bashkir
masked-language-modeling
roberta
sentencepiece
custom-code
onnxruntime
custom_code
Instructions to use failed09/bashkir-roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use failed09/bashkir-roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="failed09/bashkir-roberta", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("failed09/bashkir-roberta", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 1,134 Bytes
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