Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Portuguese
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use M2LabOrg/whisper-small-pt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use M2LabOrg/whisper-small-pt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="M2LabOrg/whisper-small-pt")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("M2LabOrg/whisper-small-pt") model = AutoModelForSpeechSeq2Seq.from_pretrained("M2LabOrg/whisper-small-pt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 3000
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 966995080
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a25e50148e4e85a1804261d45f8d3c614f0a7199773218404b208d728b8e71cd
|
| 3 |
size 966995080
|
runs/Jun08_09-36-47_fdfb4c819ec3/events.out.tfevents.1717839409.fdfb4c819ec3.3388.0
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 sha256:4bb5795f0e34d37b7236b101d4b5e6763fe3e61cde62ff966328cff1bf85b17c
|
| 3 |
+
size 32837
|