Instructions to use fayez94/whisper-medium_codeMixed_ASR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fayez94/whisper-medium_codeMixed_ASR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="fayez94/whisper-medium_codeMixed_ASR")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("fayez94/whisper-medium_codeMixed_ASR") model = AutoModelForSpeechSeq2Seq.from_pretrained("fayez94/whisper-medium_codeMixed_ASR") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 7000
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 3055544304
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:df653be5974ba9937e82ad7a609d4aff14af9b4e3835f297cf9c2bfd40609383
|
| 3 |
size 3055544304
|
runs/May26_16-50-37_f4f4f7e5aa98/events.out.tfevents.1716742242.f4f4f7e5aa98.2027.0
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 sha256:090e50a464dc5cdba03d48b6c443f43b7d859b44e5b8c24f2a20cb2a2d590f92
|
| 3 |
+
size 69193
|