Instructions to use rambollaakherati/example-first-try with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use rambollaakherati/example-first-try with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigscience/bloom-1b7") model = PeftModel.from_pretrained(base_model, "rambollaakherati/example-first-try") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 15f5315dcb7664a05daceae1d8755feb10572cfba99081dc8f1aa40d2a1e9c07
- Size of remote file:
- 12.6 MB
- SHA256:
- abc2f9de5bcdc792138d566c0580df4f61376f49cdb394a297e925809f205c29
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