Text Classification
Transformers
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stratabert
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Instructions to use dplotnikov/stratabert-tiny-ag-news-smoke with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dplotnikov/stratabert-tiny-ag-news-smoke with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dplotnikov/stratabert-tiny-ag-news-smoke", trust_remote_code=True)# Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("dplotnikov/stratabert-tiny-ag-news-smoke", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "StrataBertForSequenceClassification" | |
| ], | |
| "attention_dropout": 0.0, | |
| "auto_map": { | |
| "AutoConfig": "configuration_stratabert.StrataBertConfig", | |
| "AutoModel": "modeling_stratabert.StrataBertModel", | |
| "AutoModelForMaskedLM": "modeling_stratabert.StrataBertForMaskedLM", | |
| "AutoModelForSequenceClassification": "modeling_stratabert.StrataBertForSequenceClassification", | |
| "AutoModelForTokenClassification": "modeling_stratabert.StrataBertForTokenClassification" | |
| }, | |
| "bidirectional_ssm": true, | |
| "bos_token_id": null, | |
| "classifier_dropout": 0.0, | |
| "cls_token_id": 101, | |
| "dtype": "float32", | |
| "eos_token_id": null, | |
| "global_attention_interval": 4, | |
| "hidden_activation": "gelu", | |
| "hidden_dropout": 0.0, | |
| "hidden_size": 48, | |
| "id2label": { | |
| "0": "LABEL_0", | |
| "1": "LABEL_1", | |
| "2": "LABEL_2", | |
| "3": "LABEL_3" | |
| }, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 96, | |
| "label2id": { | |
| "LABEL_0": 0, | |
| "LABEL_1": 1, | |
| "LABEL_2": 2, | |
| "LABEL_3": 3 | |
| }, | |
| "layer_norm_eps": 1e-05, | |
| "layer_types": [ | |
| "global_attention", | |
| "ssm", | |
| "local_attention" | |
| ], | |
| "local_attention_window": 16, | |
| "max_position_embeddings": 128, | |
| "model_type": "stratabert", | |
| "norm_eps": 1e-05, | |
| "norm_type": "rmsnorm", | |
| "num_attention_heads": 4, | |
| "num_hidden_layers": 3, | |
| "pad_token_id": 0, | |
| "pooling_type": "hybrid_masked", | |
| "sep_token_id": 102, | |
| "ssm_conv_kernel": 4, | |
| "ssm_expand": 2, | |
| "ssm_fuse": "gated_sum", | |
| "ssm_reset_on_pad": true, | |
| "ssm_reset_on_segment": true, | |
| "ssm_state_size": 24, | |
| "ssm_type": "fallback_masked_scan", | |
| "transformers_version": "5.11.0", | |
| "type_vocab_size": 2, | |
| "use_compile_safe_ssm": false, | |
| "use_flash_attention": false, | |
| "use_padding_free_attention": false, | |
| "vocab_size": 50368 | |
| } | |