Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
wav2vec2-bert
Generated from Trainer
Instructions to use Bajiyo/w2v-bert-2_7_datasets with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Bajiyo/w2v-bert-2_7_datasets with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Bajiyo/w2v-bert-2_7_datasets")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Bajiyo/w2v-bert-2_7_datasets") model = AutoModelForCTC.from_pretrained("Bajiyo/w2v-bert-2_7_datasets") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 15810
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 2423130260
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d0b4ee65c46a5b6609069e35967ec00b07ee37e245b5c91f9e21aae73928fe07
|
| 3 |
size 2423130260
|
runs/Sep11_11-44-02_kudsit-dgxserver/events.out.tfevents.1726036176.kudsit-dgxserver.3691302.0
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:fc0b0549cb9364ad15e50a34f76c159d9104d5742f331aba8df22cbf4cffab0d
|
| 3 |
+
size 20293
|