Instructions to use ibm-granite/granite-speech-3.3-8b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ibm-granite/granite-speech-3.3-8b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ibm-granite/granite-speech-3.3-8b")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("ibm-granite/granite-speech-3.3-8b") model = AutoModelForSpeechSeq2Seq.from_pretrained("ibm-granite/granite-speech-3.3-8b") - Notebooks
- Google Colab
- Kaggle
Upload model-00006-of-00009.safetensors
Browse files
model-00006-of-00009.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fe96bdc622693137d757441ed071255443ba3798700cb67bc0f2965409e5c60e
|
| 3 |
+
size 1992382232
|