Instructions to use eustlb/moonshine-streaming-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eustlb/moonshine-streaming-tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="eustlb/moonshine-streaming-tiny")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("eustlb/moonshine-streaming-tiny") model = AutoModelForSpeechSeq2Seq.from_pretrained("eustlb/moonshine-streaming-tiny") - Notebooks
- Google Colab
- Kaggle
Upload MoonshineStreamingForConditionalGeneration
Browse files- config.json +1 -0
config.json
CHANGED
|
@@ -64,6 +64,7 @@
|
|
| 64 |
"rope_theta": 10000.0,
|
| 65 |
"rope_type": "default"
|
| 66 |
},
|
|
|
|
| 67 |
"transformers_version": "5.0.0.dev0",
|
| 68 |
"use_cache": true,
|
| 69 |
"vocab_size": 32768
|
|
|
|
| 64 |
"rope_theta": 10000.0,
|
| 65 |
"rope_type": "default"
|
| 66 |
},
|
| 67 |
+
"tie_word_embeddings": false,
|
| 68 |
"transformers_version": "5.0.0.dev0",
|
| 69 |
"use_cache": true,
|
| 70 |
"vocab_size": 32768
|