Automatic Speech Recognition
Transformers
Safetensors
English
Swahili
whisper
8-bit precision
bitsandbytes
Instructions to use Jacaranda-Health/ASR-STT-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jacaranda-Health/ASR-STT-8bit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Jacaranda-Health/ASR-STT-8bit")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Jacaranda-Health/ASR-STT-8bit") model = AutoModelForSpeechSeq2Seq.from_pretrained("Jacaranda-Health/ASR-STT-8bit") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -39,7 +39,7 @@ quantization_config = BitsAndBytesConfig(
|
|
| 39 |
|
| 40 |
# Load quantized model
|
| 41 |
model = AutoModelForSpeechSeq2Seq.from_pretrained(
|
| 42 |
-
"
|
| 43 |
quantization_config=quantization_config,
|
| 44 |
device_map="auto"
|
| 45 |
)
|
|
|
|
| 39 |
|
| 40 |
# Load quantized model
|
| 41 |
model = AutoModelForSpeechSeq2Seq.from_pretrained(
|
| 42 |
+
"Jacaranda-Health/ASR-STT-8bit",
|
| 43 |
quantization_config=quantization_config,
|
| 44 |
device_map="auto"
|
| 45 |
)
|