Instructions to use gotzmann/1JV42II with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use gotzmann/1JV42II 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/1JV42II") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cf021cde13621de798b38e2bb9f6ebfb92ddca35f96572dcb28eef42c4d97d6b
- Size of remote file:
- 2.01 GB
- SHA256:
- cb80e049f8677b2cae2d667f898fb422df54a597e59c5f44c86885855f2aff76
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