Instructions to use nhungphammmmm/dd7765db-530a-414c-974e-42a1ee23f5d4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nhungphammmmm/dd7765db-530a-414c-974e-42a1ee23f5d4 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("HuggingFaceH4/zephyr-7b-beta") model = PeftModel.from_pretrained(base_model, "nhungphammmmm/dd7765db-530a-414c-974e-42a1ee23f5d4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 544162044d1729574d3e1d68d60b0a36b591ea018be531d670b94953ab0bf655
- Size of remote file:
- 83.9 MB
- SHA256:
- 6f2936e810520e86b288c735b37e4df7af6a49fbad6bdfcd442def0e7c48c905
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