Instructions to use abaddon182/4211dd7b-7323-4f98-88a0-2c950d914fad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use abaddon182/4211dd7b-7323-4f98-88a0-2c950d914fad with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("teknium/OpenHermes-2.5-Mistral-7B") model = PeftModel.from_pretrained(base_model, "abaddon182/4211dd7b-7323-4f98-88a0-2c950d914fad") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 01ff3732445830527faecd84f9b3e5e0fd411aeb49a01808c2a8a7a975b6eda0
- Size of remote file:
- 6.78 kB
- SHA256:
- b55d7268b0d775cf47ba7519a733beb2cc2665ee487350f8e4876004876f4e0d
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