Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
English
whisper
Generated from Trainer
Instructions to use Makkoen/whisper-large-v3-cit-do005-wd0-lr5e-06-steps2000-FULL6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Makkoen/whisper-large-v3-cit-do005-wd0-lr5e-06-steps2000-FULL6 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Makkoen/whisper-large-v3-cit-do005-wd0-lr5e-06-steps2000-FULL6")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Makkoen/whisper-large-v3-cit-do005-wd0-lr5e-06-steps2000-FULL6") model = AutoModelForSpeechSeq2Seq.from_pretrained("Makkoen/whisper-large-v3-cit-do005-wd0-lr5e-06-steps2000-FULL6", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 2000
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 3219908024
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9557182c62e6e19a29bd802291c6b6246d42daba617382a86905531d35176f29
|
| 3 |
size 3219908024
|
runs/Nov26_09-11-57_whisper-finetune-2/events.out.tfevents.1732612345.whisper-finetune-2
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:74712506277e45bb2541e042ab2898039fa7297ccc8c133c1cae64d1716709cd
|
| 3 |
+
size 11266
|