Instructions to use eeeebbb2/9d94bc60-34ce-43f9-8b83-e855fe65505c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eeeebbb2/9d94bc60-34ce-43f9-8b83-e855fe65505c with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/zephyr-sft") model = PeftModel.from_pretrained(base_model, "eeeebbb2/9d94bc60-34ce-43f9-8b83-e855fe65505c") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f06ecf6bb59974e9b1535b35eb1973b44978c73a91490edc3cf624643be297f7
- Size of remote file:
- 6.84 kB
- SHA256:
- bd3836e5c656a75d8172cf8a0b510efc38b8169e0088589ef8a15a1505c449ea
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