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
| { | |
| "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" | |
| } | |
| } | |