Instructions to use risolmayo/31f2c202-4cff-4d57-99bb-425f233050e8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use risolmayo/31f2c202-4cff-4d57-99bb-425f233050e8 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, "risolmayo/31f2c202-4cff-4d57-99bb-425f233050e8") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2b191bd13123b709e9f3231404362c4f0b46907a23785fffdeed6a54980b0b17
- Size of remote file:
- 671 MB
- SHA256:
- 541e7cd57c1e75b1ea51b64a01012388d73b0d2879a4b404d130def0f1ba4d43
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