Automatic Speech Recognition
PEFT
Safetensors
Transformers
English
lora
singapore
education
speech
nmlp
Instructions to use munyew/meralion-education-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use munyew/meralion-education-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("C:/Projects/meralion-server/models/meralion_2_3b") model = PeftModel.from_pretrained(base_model, "munyew/meralion-education-lora") - Transformers
How to use munyew/meralion-education-lora with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="munyew/meralion-education-lora")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("munyew/meralion-education-lora", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K