Feature Extraction
Transformers
Russian
tera_analy
audio
speech
speech-emotion-recognition
age-estimation
gender-classification
russian-stress
custom-code
custom_code
Instructions to use TeraSpace/TeraAnaly with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TeraSpace/TeraAnaly with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="TeraSpace/TeraAnaly", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("TeraSpace/TeraAnaly", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
16 days ago
-
Add batched variable-length encoder and head inference
Verified signatureBatch waveform/text input, masked encoder and demographic pooling, batched CTC emissions and stress scores, plus an inference example with configurable batch size.d1840ef -
Publish frozen shared encoder and separate Russian speech analysis heads
Verified signatureStandalone PyTorch model code, independent safetensors components, AutoModel remote-code loading and noncommercial licensing.a1572a3 -
initial commit
Verified signature18b68bb