10 actions in 9 pieces of software · ranked by words, meaning and measured trust · 634 ms
MCP serverrecord
- nemotron_labs_audex_2b__on_preset
- nemotron_labs_audex_2b_transcribe
Run the Nemotron Audex 2B audio-language model on an audio clip. If a user passes a file as an input, use the upload_file_to_gradio tool, if present, to upload the file to the gradio app and create a Gradio File Input. Then use the returned path as the input to the tool. Returns: A tuple of (answer_
MCP serverrecord
- Nemotron_Labs_Audex_run_unified
Run a selected Audex model for audio, text, or speech generation. If a user passes a file as an input, use the upload_file_to_gradio tool, if present, to upload the file to the gradio app and create a Gradio File Input. Then use the returned path as the input to the tool
- Nemotron_Labs_Audex_run_unified
modelrecord79,205 downloads/month
- text-generation
Task: text-generation
- text-generation
modelrecord168,453 downloads/month
- any-to-any
Task: any-to-any
- any-to-any
modelrecord1,218,333 downloads/month
- automatic-speech-recognition
Task: automatic-speech-recognition
- automatic-speech-recognition
modelrecord
- lucataco/ollama-nemotron-70b
Ollama Nemotron 70b
- lucataco/ollama-nemotron-70b
modelrecord
- google-deepmind/gemma-2b-it
2B instruct version of Google’s Gemma model
- google-deepmind/gemma-2b-it
modelrecord
- nemotron-4-340b-instruct
Task: Nemotron-4-340B-Instruct
- nemotron-4-340b-instruct
modelrecord
- natural-language-understanding
Task: Natural Language Understanding
- natural-language-understanding
Labels are the instruments' verdict and are never changed by ranking. Agents and robots get this same answer as JSON at /api/v1/find?q=…&answer=1 and through the MCP server.