Instructions to use cebaker/model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cebaker/model with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigscience/bloomz-3b") model = PeftModel.from_pretrained(base_model, "cebaker/model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4c98b174b6e37532c6ca653db338157042fa6e37d53ed41fd834c5796b697809
- Size of remote file:
- 19.7 MB
- SHA256:
- a88fb9e2c083bb862d8f624cdd8248d5498cf129f4cd2d0fd182d68e8f0ec39a
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