Instructions to use nthakur/Meta-Llama-3-8B-Instruct-miracl-raft-sft-v2.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nthakur/Meta-Llama-3-8B-Instruct-miracl-raft-sft-v2.0 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3-8B-Instruct") model = PeftModel.from_pretrained(base_model, "nthakur/Meta-Llama-3-8B-Instruct-miracl-raft-sft-v2.0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 455bd31a3cdd4afac1e87614f6ff592d0f1a6cb89678a029c2c0086e90feb8ce
- Size of remote file:
- 6.33 kB
- SHA256:
- e98e81b2e07f0a62823f00a65b87743225e4527a0c430727ab969bce87812a74
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