Instructions to use hcrystalwang/bloom-3b-lora-Step10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use hcrystalwang/bloom-3b-lora-Step10 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigscience/bloom-3b") model = PeftModel.from_pretrained(base_model, "hcrystalwang/bloom-3b-lora-Step10") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 06f3e136f94ae7754ab51c59ceff9fbf3aeca0dcdcec0b3e0574f1d3a0993446
- Size of remote file:
- 19.7 MB
- SHA256:
- 507b33df6abe33630ef2bbb504893c5e3e9433feed9ebfa81c65135570400478
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