Instructions to use devkya/peft-large-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use devkya/peft-large-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="devkya/peft-large-model")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("devkya/peft-large-model") model = AutoModelForSpeechSeq2Seq.from_pretrained("devkya/peft-large-model") - Notebooks
- Google Colab
- Kaggle
Upload tokenizer.json
Browse files- tokenizer.json +0 -0
tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|