Instructions to use jindaznb/torgo_tiny_finetune_F04_frozen_encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jindaznb/torgo_tiny_finetune_F04_frozen_encoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="jindaznb/torgo_tiny_finetune_F04_frozen_encoder")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("jindaznb/torgo_tiny_finetune_F04_frozen_encoder") model = AutoModelForSpeechSeq2Seq.from_pretrained("jindaznb/torgo_tiny_finetune_F04_frozen_encoder") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:42b7e883b78efc9305d302007b1fc8f92c33eb20d9d64ac2812e180bff961011
|
| 3 |
+
size 151061728
|