Instructions to use souging/e0e1aab0-e5ff-46cc-91e4-9c707fb4bbe5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use souging/e0e1aab0-e5ff-46cc-91e4-9c707fb4bbe5 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/OpenHermes-2.5-Mistral-7B") model = PeftModel.from_pretrained(base_model, "souging/e0e1aab0-e5ff-46cc-91e4-9c707fb4bbe5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 95338db6a98d4eb32ce90699cdc8b4b9a36a54b3e426d2ada52ca5fda8f527bf
- Size of remote file:
- 336 MB
- SHA256:
- ee8c79b897e7f1924a495c74f6ad15fbb9e24b7ffbdd66fa9030d2ce61b29ac8
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