Instructions to use eeeebbb2/b9ccccb9-64a3-4207-a2ed-fb5da2aeefd2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eeeebbb2/b9ccccb9-64a3-4207-a2ed-fb5da2aeefd2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("sethuiyer/Medichat-Llama3-8B") model = PeftModel.from_pretrained(base_model, "eeeebbb2/b9ccccb9-64a3-4207-a2ed-fb5da2aeefd2") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 32, checkpoint
Browse files- last-checkpoint/adapter_model.safetensors +1 -1
- last-checkpoint/optimizer.pt +1 -1
- last-checkpoint/rng_state_0.pth +1 -1
- last-checkpoint/rng_state_1.pth +1 -1
- last-checkpoint/rng_state_2.pth +1 -1
- last-checkpoint/rng_state_3.pth +1 -1
- last-checkpoint/scheduler.pt +1 -1
- last-checkpoint/trainer_state.json +53 -4
last-checkpoint/adapter_model.safetensors
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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/rng_state_2.pth
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last-checkpoint/rng_state_3.pth
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last-checkpoint/scheduler.pt
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last-checkpoint/trainer_state.json
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