Instructions to use RajanGo/RajanGo-Asgn-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use RajanGo/RajanGo-Asgn-2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigscience/bloomz-3b") model = PeftModel.from_pretrained(base_model, "RajanGo/RajanGo-Asgn-2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 882e86a1d91568a2464695afd645f5b308e14c4dbb843b189b857e51c6214213
- Size of remote file:
- 19.7 MB
- SHA256:
- 7084cf38514602c8e3ecaa5d2204b2e8a8f843024b40048fd7a9dd2f00dec4cc
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