Instructions to use krishan23/whisper_train with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use krishan23/whisper_train with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="krishan23/whisper_train")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("krishan23/whisper_train") model = AutoModelForSpeechSeq2Seq.from_pretrained("krishan23/whisper_train", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 4000
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 3025686376
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8a21693ae9f9a1a05dfa6e1b156ad7407b2babc752353e141a52e63fdb2657df
|
| 3 |
size 3025686376
|
runs/Apr25_07-35-51_ai-matrix-train/events.out.tfevents.1714030553.ai-matrix-train.8269.0
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:cdc1d920d22271a08f9b74a6862a845d3de5ef5a5f9843a1b5e0b78128eda84b
|
| 3 |
+
size 23848
|