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
update
Browse files- training_progress.json +9 -0
training_progress.json
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{
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"status": "training_in_progress",
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"task_id": "c287b851-977f-44fb-ab37-e96dffa86e77",
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"expected_repo_name": "3e3b8034-af2e-4d3b-9a54-7bb7428c1545",
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"last_update": "2025-09-03T03:38:31.103254",
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"push_count": 1,
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"next_update_in_minutes": 30,
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"message": "Training in progress... Push #1 at 2025-09-03 03:38:31"
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}
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