Instructions to use sagnikdas-ml/openllama-13b-instruct-human-feedback with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sagnikdas-ml/openllama-13b-instruct-human-feedback with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("openlm-research/open_llama_13b") model = PeftModel.from_pretrained(base_model, "sagnikdas-ml/openllama-13b-instruct-human-feedback") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 26ed31e620a951050af58bc4bc9d74ea9b1eef1f55d4b0fc5cb0fadbe5e0cf9a
- Size of remote file:
- 125 MB
- SHA256:
- 5e4fa7b54aaf8c0d7d436014344671bb5eb2ac96a75decc3fd8204b7330f9f7d
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