Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
whisper
Generated from Trainer
dutch
whisper-event
Instructions to use qmeeus/whisper-small-nl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use qmeeus/whisper-small-nl with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="qmeeus/whisper-small-nl")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("qmeeus/whisper-small-nl") model = AutoModelForSpeechSeq2Seq.from_pretrained("qmeeus/whisper-small-nl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:92215dedec45f0a5d3eb718abcd35a7980ab37135afa87171f59f0ce163c3018
|
| 3 |
+
size 966995080
|