Automatic Speech Recognition
Transformers
Safetensors
English
mistral
text-generation
text-generation-inference
Instructions to use LeroyDyer/SpydazWebAI_SpeechEncoderDecoder_Mini548m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LeroyDyer/SpydazWebAI_SpeechEncoderDecoder_Mini548m with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="LeroyDyer/SpydazWebAI_SpeechEncoderDecoder_Mini548m")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("LeroyDyer/SpydazWebAI_SpeechEncoderDecoder_Mini548m") model = AutoModelForCausalLM.from_pretrained("LeroyDyer/SpydazWebAI_SpeechEncoderDecoder_Mini548m") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -6,6 +6,10 @@ library_name: transformers
|
|
| 6 |
pipeline_tag: automatic-speech-recognition
|
| 7 |
---
|
| 8 |
|
|
|
|
|
|
|
|
|
|
|
|
|
| 9 |
```
|
| 10 |
works fine just add custom training
|
| 11 |
|
|
|
|
| 6 |
pipeline_tag: automatic-speech-recognition
|
| 7 |
---
|
| 8 |
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
Mistral
|
| 12 |
+
SPEECH-ENCODER-DECODER-MODEL
|
| 13 |
```
|
| 14 |
works fine just add custom training
|
| 15 |
|