Instructions to use mmtg/train-test-valid with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mmtg/train-test-valid with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="mmtg/train-test-valid")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("mmtg/train-test-valid") model = AutoModelForSpeechSeq2Seq.from_pretrained("mmtg/train-test-valid") - 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 290403936
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:dcfe91566668ad2d77cfda6b2405ea75b90a58b6d35b89f1c43d0c05f2047ccb
|
| 3 |
size 290403936
|
runs/Jun13_15-19-57_cse-3/events.out.tfevents.1718272847.cse-3
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:c4cc6cb2453cc7fc0f203a5d925cf2998f47dcf221caf4b53d508b212e824a6f
|
| 3 |
+
size 42973
|