Instructions to use kokovova/370b6dd9-ba53-413c-a469-0adf5c7c8751 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kokovova/370b6dd9-ba53-413c-a469-0adf5c7c8751 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, "kokovova/370b6dd9-ba53-413c-a469-0adf5c7c8751") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6baac7254ad86c266c49faf0f37505342da8365bc63b0abdf91bbe79ef61cc89
- Size of remote file:
- 6.78 kB
- SHA256:
- 06c88e63a9798522a56c1a7aa27f8f0d53598564e245d7198620a45f509840c7
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