Document public self-contained inference and merged smol-audio example

README.md

@@ -82,7 +82,7 @@ print(model.finish())
 
 The loader chooses CUDA, Apple Metal, or CPU. Pass `device="cuda"` or `device="cpu"` to choose explicitly, and `dtype=torch.bfloat16` or `dtype=torch.float32` to choose precision. Streaming supports one device. `reset()` starts an utterance, `step()` updates its partial transcript, and `finish()` flushes the remaining audio and decodes the endpoint.
 
-Inference loads the weights and processor from this repository; it does not download the original Cohere weights. Authentication is required while this repository is private. The original gated Cohere model is still needed for teacher labeling and distillation.
+Inference loads the weights and processor from this public repository without an authentication token; it does not download the original Cohere weights. Access to the original gated Cohere model is still needed for teacher labeling and distillation.
 
 `trust_remote_code=True` loads the streaming implementation shipped here. This adapter exposes the streaming methods above; standard ASR pipeline streaming and `AutoModel.from_config()` are not implemented.
 
@@ -92,7 +92,7 @@ To save a copy with its code and processor:
 model.save_pretrained("cohere-streaming-local")
 ```
 
-The directory contains `student.safetensors`, `config.json`, `mel_stats.json`, `model.py`, processor/tokenizer files, and `generation_config.json`. The published repository also retains `log.json` from training. The local `CohereStreaming` adapter in the [smol-audio example](https://github.com/Deep-unlearning/smol-audio/tree/codex/cohere-streaming/cohere_transcribe_streaming) remains compatible with this checkpoint.
+The directory contains `student.safetensors`, `config.json`, `mel_stats.json`, `model.py`, processor/tokenizer files, and `generation_config.json`. The published repository also retains `log.json` from training. The local `CohereStreaming` adapter in the [smol-audio example](https://github.com/Deep-unlearning/smol-audio/tree/master/cohere_transcribe_streaming) remains compatible with this checkpoint.
 
 ## How it was made