Instructions to use hasdal/3e3b8034-af2e-4d3b-9a54-7bb7428c1545 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use hasdal/3e3b8034-af2e-4d3b-9a54-7bb7428c1545 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("teknium/OpenHermes-2.5-Mistral-7B") model = PeftModel.from_pretrained(base_model, "hasdal/3e3b8034-af2e-4d3b-9a54-7bb7428c1545") - Notebooks
- Google Colab
- Kaggle
File size: 324 Bytes
36542f5 | 1 2 3 4 5 6 7 8 9 | {
"status": "training_in_progress",
"task_id": "c287b851-977f-44fb-ab37-e96dffa86e77",
"expected_repo_name": "3e3b8034-af2e-4d3b-9a54-7bb7428c1545",
"last_update": "2025-09-03T03:38:31.103254",
"push_count": 1,
"next_update_in_minutes": 30,
"message": "Training in progress... Push #1 at 2025-09-03 03:38:31"
} |