Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use rambaldi47/whisper-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rambaldi47/whisper-tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="rambaldi47/whisper-tiny")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("rambaldi47/whisper-tiny") model = AutoModelForSpeechSeq2Seq.from_pretrained("rambaldi47/whisper-tiny", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 50
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 151061672
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d9496d09a6892fe89725eef7f086a11e50aa71b7c64555e03ae5eff391f63f81
|
| 3 |
size 151061672
|
runs/Feb04_22-31-34_MSI/events.out.tfevents.1707085899.MSI
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e68117cc854937f5723ac3b8eaafede758aec9e9b14be34f6fdc4f895360251e
|
| 3 |
+
size 6436
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 4856
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b70128a50c95ec5c97e7fe1409543035805b4cbbf0f0076210a79dece289419f
|
| 3 |
size 4856
|