Speechless TWI β Stage 1 (RVQ for Whisper Encoder)
Trained RVQ that discretizes Whisper encoder features into semantic tokens for Twi/Akan.
Files
- rvq_final.ptβ state dict
- config_stage1.jsonβ training/config params
- rvq_wrapper.pyβ tiny module defining- RVQWrapper
Usage (example)
import torch, json
from huggingface_hub import hf_hub_download
from rvq_wrapper import RVQWrapper
cfg = json.load(open(hf_hub_download("ik/speechless-twi-stage1-rvq-whisper-medium", "config_stage1.json"), "r"))
ckpt = torch.load(hf_hub_download("ik/speechless-twi-stage1-rvq-whisper-medium", "rvq_final.pt"), map_location="cpu")
rvq = RVQWrapper(cfg["rvq_dim"], cfg["rvq_num_quantizers"], cfg["rvq_codebook_size"])
rvq.load_state_dict(ckpt["rvq"])
rvq.eval()
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