Instructions to use gotzmann/1JV46 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use gotzmann/1JV46 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Meta-Llama-3.1-8B-Instruct") model = PeftModel.from_pretrained(base_model, "gotzmann/1JV46") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 84c8ad5e1d0a8a123dfe44334a10cd508ffae45a9323012c938ca76f9d32ff98
- Size of remote file:
- 5.3 kB
- SHA256:
- 4bf006c936d25702430ecf01251c7be33e7bfd8a042a5d5c9f0cf5d8200b0535
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