Instructions to use reeddg/testjjj with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use reeddg/testjjj with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("openlm-research/open_llama_3b") model = PeftModel.from_pretrained(base_model, "reeddg/testjjj") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 59aa87b7f1632c462eb9316d82b8f6d37e41c9631afd489e7902f0dac5c7a80a
- Size of remote file:
- 4.92 kB
- SHA256:
- 971a460e8b99988115453adee41f991caebaf066956f0545da7b09dc673feebe
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