Instructions to use kiritan/iteboshi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kiritan/iteboshi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="kiritan/iteboshi")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("kiritan/iteboshi") model = AutoModelForSpeechSeq2Seq.from_pretrained("kiritan/iteboshi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 3000
Browse files- model.safetensors +1 -1
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 223144592
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:98a40d1f879e92b1250c6ce6814b61dc6d1fca0c70ebd417d8ead38a7dce3f4e
|
| 3 |
size 223144592
|