Instructions to use hhhiro/BLOOM_3B_lora_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use hhhiro/BLOOM_3B_lora_test with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigscience/bloom-3b") model = PeftModel.from_pretrained(base_model, "hhhiro/BLOOM_3B_lora_test") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 37824085f2ce7757611385480863ec6df9a32ebf44420f598099f4d0c74595f2
- Size of remote file:
- 9.85 MB
- SHA256:
- f28100cbea3e6e263a54ca2bf07ead6e6039763a28dfd84b3f3b5fb9b54479fd
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