Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Hebrew
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use Shiry/whisper-large-v2-he with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shiry/whisper-large-v2-he with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Shiry/whisper-large-v2-he")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Shiry/whisper-large-v2-he") model = AutoModelForSpeechSeq2Seq.from_pretrained("Shiry/whisper-large-v2-he", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#3
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 sha256:1599c748575ea603d532db0ca2506ec07cc012d4743c16ebe8c424271b9142ea
|
| 3 |
+
size 6173370152
|