Instructions to use nhungphammmmm/c72cb38a-0b3c-4545-8a39-ca8192123f62 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nhungphammmmm/c72cb38a-0b3c-4545-8a39-ca8192123f62 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/c72cb38a-0b3c-4545-8a39-ca8192123f62") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 20a3e49c779f0e495671981a5fc88cc8105c74f17a724c70fccb5fede0b398d4
- Size of remote file:
- 6.78 kB
- SHA256:
- c7050fee2f6edc7084ca9dc3154faa81a2e23552e3c0190e8adbcb07518ad84e
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