Instructions to use nmuendler/Apriel-15B-rust-sft-run1-eb32-e4-lr1e-04-r64-step636 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nmuendler/Apriel-15B-rust-sft-run1-eb32-e4-lr1e-04-r64-step636 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("ServiceNow-AI/Apriel-Nemotron-15b-Thinker") model = PeftModel.from_pretrained(base_model, "nmuendler/Apriel-15B-rust-sft-run1-eb32-e4-lr1e-04-r64-step636") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 12297a93bf313226e488a412f7e43c719fb8235bcc0434f9eb044e7e2ebf2fcc
- Size of remote file:
- 1.14 GB
- SHA256:
- 56a4168313189206c2fd7cb56ad14c6ef132a9dfe1a9e5dc2934b1e2d9649ade
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