Instructions to use maxseats/yeah_tmp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use maxseats/yeah_tmp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="maxseats/yeah_tmp")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("maxseats/yeah_tmp") model = AutoModelForSpeechSeq2Seq.from_pretrained("maxseats/yeah_tmp") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 2000
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:c71d808f1ff77bfd1f446f1a0144e0bfb8cbc23799e0937e3ae48c208d914011
|
| 3 |
size 966995080
|
runs/Jul09_04-47-23_node0/events.out.tfevents.1720473355.node0.14998.0
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 sha256:00ce5877abb1c38e58811c9399ddaaa8ffcc41723ecf7271e5093478d5bf63cf
|
| 3 |
+
size 23131
|