Instructions to use NathanRoll/psst-medium-en-q with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NathanRoll/psst-medium-en-q with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="NathanRoll/psst-medium-en-q")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("NathanRoll/psst-medium-en-q") model = AutoModelForSpeechSeq2Seq.from_pretrained("NathanRoll/psst-medium-en-q", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
7d7403d
1
Parent(s): 3539161
Upload decoder_with_past_model_quantized.onnx with huggingface_hub
Browse files
decoder_with_past_model_quantized.onnx
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1ae471cbc1b212a70d43818fb2bddc121a6421c346c0f637c8b9964881706977
|
| 3 |
+
size 463499481
|