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
File size: 1,036 Bytes
2b3226f dab2d04 2b3226f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 | {
"transformers_version": "5.15.1",
"architectures": [
"BashkirRobertaForMaskedLM"
],
"output_hidden_states": false,
"return_dict": true,
"dtype": "float32",
"chunk_size_feed_forward": 0,
"is_encoder_decoder": false,
"id2label": {
"0": "LABEL_0",
"1": "LABEL_1"
},
"label2id": {
"LABEL_0": 0,
"LABEL_1": 1
},
"problem_type": null,
"_name_or_path": "",
"pad_token_id": 0,
"bos_token_id": 2,
"eos_token_id": 3,
"cls_token_id": 4,
"sep_token_id": 5,
"mask_token_id": 6,
"tie_word_embeddings": true,
"vocab_size": 16384,
"hidden_size": 640,
"num_hidden_layers": 8,
"num_attention_heads": 10,
"intermediate_size": 2560,
"max_position_embeddings": 256,
"hidden_dropout_prob": 0.1,
"model_type": "bashkir-roberta-preln",
"output_attentions": false,
"auto_map": {
"AutoConfig": "configuration_bashkir_roberta.BashkirRobertaConfig",
"AutoModelForMaskedLM": "modeling_bashkir_roberta.BashkirRobertaForMaskedLM"
}
}
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