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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 5000
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:a758fb8d752ab799a9c3519fb668533afc37b11104d42650646bcbcea4174ebe
|
| 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:a277558a63c4ae9fb92311f62cbbb069663b33182edd0e55c6439c70bd0b6f6b
|
| 3 |
+
size 51041
|