Instructions to use tarabukinivan/e2df0d33-5289-4554-bf95-fccf1bf3f667 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tarabukinivan/e2df0d33-5289-4554-bf95-fccf1bf3f667 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("dunzhang/stella_en_1.5B_v5") model = PeftModel.from_pretrained(base_model, "tarabukinivan/e2df0d33-5289-4554-bf95-fccf1bf3f667") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 30, checkpoint
Browse files
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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"is_world_process_zero": true,
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