Instructions to use misraw1607/instruction_finetuned_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use misraw1607/instruction_finetuned_model with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-hf") model = PeftModel.from_pretrained(base_model, "misraw1607/instruction_finetuned_model") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from misraw1607/instruction_finetuned_model: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/misraw1607/instruction_finetuned_model/resolve/main/training_args.bin
- Command line
-
hf download hf://misraw1607/instruction_finetuned_model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/misraw1607/instruction_finetuned_model/resolve/main/training_args.bin
5.11 kB
- Xet hash:
- 69a39b3741f304611b9612d83ab67df82d13e4f5db37a1af19096dbe5ee86e6d
- Size of remote file:
- 5.11 kB
- SHA256:
- 92cb3422b1a8c6c0583baceb41adb0c73150b880d504f5f36f9508295edf0a69
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