Instructions to use fats-fme/8621c6f3-fff3-4f7c-95a1-d9d5230042d5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use fats-fme/8621c6f3-fff3-4f7c-95a1-d9d5230042d5 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, "fats-fme/8621c6f3-fff3-4f7c-95a1-d9d5230042d5") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 274, checkpoint
Browse files
last-checkpoint/optimizer.pt
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last-checkpoint/rng_state_0.pth
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last-checkpoint/rng_state_1.pth
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last-checkpoint/scheduler.pt
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last-checkpoint/trainer_state.json
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