Feature Extraction
Transformers
Safetensors
PyTorch
Russian
accentik
russian
accentuation
word-stress
custom-code
custom_code
Instructions to use TeraSpace/accentik with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TeraSpace/accentik with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="TeraSpace/accentik", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("TeraSpace/accentik", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from TeraSpace/accentik: direct link, hf CLI and curl.
- Browser
- Download file 3.62 kB
-
https://huggingface.co/TeraSpace/accentik/resolve/main/config.json
- Command line
-
hf download hf://TeraSpace/accentik/config.json
-
curl -L -o config.json https://huggingface.co/TeraSpace/accentik/resolve/main/config.json
3.62 kB
| { | |
| "architectures": [ | |
| "AccentikModel" | |
| ], | |
| "auto_map": { | |
| "AutoConfig": "configuration_accentik.AccentikConfig", | |
| "AutoModel": "modeling_accentik.AccentikModel" | |
| }, | |
| "batch_token_budget": 8192, | |
| "context_window": 512, | |
| "dtype": "float32", | |
| "encoder_config": { | |
| "accentor_local_head": true, | |
| "activation_function": "gelu", | |
| "allow_embedding_resizing": true, | |
| "architectures": [ | |
| "ModernBertForMaskedLM" | |
| ], | |
| "attention_bias": false, | |
| "attention_dropout": 0.0, | |
| "attention_layer": "rope", | |
| "attention_probs_dropout_prob": 0.0, | |
| "attn_out_bias": false, | |
| "attn_out_dropout_prob": 0.1, | |
| "attn_qkv_bias": false, | |
| "bert_layer": "prenorm", | |
| "bos_token_id": 50281, | |
| "chunk_size_feed_forward": 0, | |
| "classifier_activation": "gelu", | |
| "classifier_bias": false, | |
| "classifier_dropout": 0.0, | |
| "classifier_pooling": "cls", | |
| "cls_token_id": 50281, | |
| "compile_model": true, | |
| "decoder_bias": true, | |
| "deterministic_flash_attn": false, | |
| "dtype": "float32", | |
| "embed_dropout_prob": 0.0, | |
| "embed_norm": true, | |
| "embedding_dropout": 0.0, | |
| "embedding_layer": "sans_pos", | |
| "eos_token_id": 50282, | |
| "final_norm": true, | |
| "global_attn_every_n_layers": 3, | |
| "head_pred_act": "gelu", | |
| "hidden_act": "gelu", | |
| "hidden_activation": "gelu", | |
| "hidden_size": 384, | |
| "id2label": { | |
| "0": "LABEL_0", | |
| "1": "LABEL_1" | |
| }, | |
| "init_method": "full_megatron", | |
| "initializer_cutoff_factor": 2.0, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 576, | |
| "is_encoder_decoder": false, | |
| "label2id": { | |
| "LABEL_0": 0, | |
| "LABEL_1": 1 | |
| }, | |
| "layer_types": [ | |
| "full_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "full_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "full_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "full_attention", | |
| "sliding_attention", | |
| "sliding_attention" | |
| ], | |
| "local_attention": 256, | |
| "local_attn_rotary_emb_base": 10000.0, | |
| "loss_function": "fa_cross_entropy", | |
| "loss_kwargs": { | |
| "reduction": "mean" | |
| }, | |
| "masked_prediction": true, | |
| "max_position_embeddings": 8192, | |
| "mlp_bias": false, | |
| "mlp_dropout": 0.0, | |
| "mlp_dropout_prob": 0.0, | |
| "mlp_in_bias": false, | |
| "mlp_layer": "glu", | |
| "mlp_out_bias": false, | |
| "model_type": "modernbert", | |
| "norm_bias": false, | |
| "norm_eps": 1e-05, | |
| "norm_kwargs": { | |
| "bias": false, | |
| "eps": 1e-05 | |
| }, | |
| "normalization": "layernorm", | |
| "num_attention_heads": 6, | |
| "num_hidden_layers": 12, | |
| "output_attentions": false, | |
| "output_hidden_states": false, | |
| "pad_token_id": 50283, | |
| "padding": "unpadded", | |
| "problem_type": null, | |
| "repad_logits_with_grad": false, | |
| "return_dict": true, | |
| "rope_parameters": { | |
| "full_attention": { | |
| "rope_theta": 160000.0, | |
| "rope_type": "default" | |
| }, | |
| "sliding_attention": { | |
| "rope_theta": 10000.0, | |
| "rope_type": "default" | |
| } | |
| }, | |
| "rotary_emb_base": 160000.0, | |
| "rotary_emb_dim": null, | |
| "rotary_emb_interleaved": false, | |
| "rotary_emb_scale_base": null, | |
| "sep_token_id": 50282, | |
| "skip_first_prenorm": true, | |
| "sparse_pred_ignore_index": -100, | |
| "sparse_prediction": false, | |
| "tie_word_embeddings": true, | |
| "transformers_version": "5.15.1", | |
| "unpad_embeddings": true, | |
| "vocab_size": 50368 | |
| }, | |
| "model_type": "accentik", | |
| "release": "audio-v3", | |
| "restore_yo_default": false, | |
| "tie_word_embeddings": false, | |
| "transformers_version": "5.15.1", | |
| "yo_threshold": 0.8 | |
| } | |