Instructions to use tuanna08go/16c5210f-4d0c-41b2-ac55-4e66607816eb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tuanna08go/16c5210f-4d0c-41b2-ac55-4e66607816eb with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("jhflow/mistral7b-lora-multi-turn-v2") model = PeftModel.from_pretrained(base_model, "tuanna08go/16c5210f-4d0c-41b2-ac55-4e66607816eb") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 50, checkpoint
Browse files
last-checkpoint/adapter_model.safetensors
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last-checkpoint/optimizer.pt
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last-checkpoint/rng_state.pth
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last-checkpoint/scheduler.pt
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last-checkpoint/trainer_state.json
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"logging_steps": 10,
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"is_world_process_zero": true,
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"eval_samples_per_second": 19.146,
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