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)# 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
Fix tokenizer metadata
Browse files- tokenizer_config.json +4 -4
tokenizer_config.json
CHANGED
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@@ -68,9 +68,9 @@
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| 68 |
"tokenizer_class": "BashkirRobertaTokenizer",
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"unk_token": "<unk>",
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| 70 |
"auto_map": {
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"AutoTokenizer": [
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"tokenization_bashkir_roberta.BashkirRobertaTokenizer",
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null
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]
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}
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}
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| 68 |
"tokenizer_class": "BashkirRobertaTokenizer",
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| 69 |
"unk_token": "<unk>",
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| 70 |
"auto_map": {
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+
"AutoTokenizer": [
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"tokenization_bashkir_roberta.BashkirRobertaTokenizer",
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null
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]
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}
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}
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