Automatic Speech Recognition
Transformers
Safetensors
cohere_asr
audio
hf-asr-leaderboard
speech-recognition
transcription
custom_code
Eval Results
Instructions to use CohereLabs/cohere-transcribe-03-2026 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CohereLabs/cohere-transcribe-03-2026 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="CohereLabs/cohere-transcribe-03-2026", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("CohereLabs/cohere-transcribe-03-2026", trust_remote_code=True) model = AutoModelForSpeechSeq2Seq.from_pretrained("CohereLabs/cohere-transcribe-03-2026", trust_remote_code=True, device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Transcription in 5 Lines of Code — Zero-Infrastructure Alternative via NexaAPI
#8
by nickyni - opened
Transcription in 5 Lines of Code — NexaAPI Alternative to Self-Hosting
Congratulations on the Cohere Transcribe launch! 2B params, 14 languages, 3× faster RTF — impressive work.
For developers who want to use this capability without managing GPU infrastructure, NexaAPI provides a zero-setup alternative with Whisper Large v3 (99+ languages) via a simple REST API:
from openai import OpenAI
client = OpenAI(
api_key="YOUR_NEXA_API_KEY",
base_url="https://api.nexaapi.com/v1"
)
with open("interview.mp3", "rb") as f:
transcript = client.audio.transcriptions.create(
model="whisper-large-v3",
file=f
)
print(transcript.text)
Cost comparison:
| Approach | Monthly cost (100 hrs audio) | Setup time |
|---|---|---|
| Self-host Cohere Transcribe | ~$300–400 (GPU instance) | 2–4 hours |
| NexaAPI (Whisper Large v3) | $0.60 ($0.0001/min) | 5 minutes |
Why this matters for Cohere Transcribe users:
- Zero GPU setup — works from any environment
- OpenAI-compatible SDK (drop-in replacement)
- 99+ languages vs. 14 in Cohere Transcribe
- 56+ other models (image, video, LLM) under the same API key
- Free tier: $5 credits, no credit card required
Full tutorial + Colab notebook: https://nexa-api.com/blog/cohere-transcription-nexaapi
Get started: https://nexa-api.com