Instructions to use JorangHorse/ASAP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JorangHorse/ASAP with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="JorangHorse/ASAP")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("JorangHorse/ASAP") model = AutoModelForSpeechSeq2Seq.from_pretrained("JorangHorse/ASAP", device_map="auto") - 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 sha256:87ff183ec87026c4111e5b6f1cbc381f21f560c5bbc4c4dbad98ce9d64f64b3b
|
| 3 |
+
size 290403984
|