Instructions to use jakeatx/slimder-qwen38-ream288-ngram50-mixed-recovery-qlora-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use jakeatx/slimder-qwen38-ream288-ngram50-mixed-recovery-qlora-v2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("results/mixed-training-checkpoint-v2") model = PeftModel.from_pretrained(base_model, "jakeatx/slimder-qwen38-ream288-ngram50-mixed-recovery-qlora-v2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 070d5a0d5ea150c4a9d56bb97ff2cd7987d402863429c9f19e2dc320c06d54ee
- Size of remote file:
- 40.7 MB
- SHA256:
- 7c2da7e5347eb08da46ab34576b3a3daebca03d4091a21c3f19988bf36b82854
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