Transformers
Safetensors
Chinese
eres2netv2
audio-xvector
speaker-verification
speaker-embedding
speech
custom_code
Instructions to use artyomboyko/eres2netv2-192 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use artyomboyko/eres2netv2-192 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForAudioXVector model = AutoModelForAudioXVector.from_pretrained("artyomboyko/eres2netv2-192", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 873 Bytes
178ea31 | 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 | {
"auto_map": {
"AutoFeatureExtractor": "feature_extraction_eres2netv2.ERes2NetV2FeatureExtractor"
},
"blackman_coeff": 0.42,
"dither": 0.0,
"energy_floor": 1.0,
"feature_extractor_type": "ERes2NetV2FeatureExtractor",
"feature_size": 80,
"frame_length": 25.0,
"frame_shift": 10.0,
"high_freq": 0.0,
"htk_compat": false,
"low_freq": 20.0,
"mean_normalize": true,
"min_duration": 0.0,
"num_mel_bins": 80,
"padding_side": "right",
"padding_value": 0.0,
"preemphasis_coefficient": 0.97,
"raw_energy": true,
"remove_dc_offset": true,
"return_attention_mask": true,
"round_to_power_of_two": true,
"sampling_rate": 16000,
"snip_edges": true,
"subtract_mean": false,
"use_energy": false,
"use_log_fbank": true,
"use_power": true,
"vtln_high": -500.0,
"vtln_low": 100.0,
"vtln_warp": 1.0,
"window_type": "povey"
}
|