Instructions to use eeeebbb2/ce794c97-ab3d-4983-8fd9-ecb98ac48446 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eeeebbb2/ce794c97-ab3d-4983-8fd9-ecb98ac48446 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/CodeLlama-7b-hf") model = PeftModel.from_pretrained(base_model, "eeeebbb2/ce794c97-ab3d-4983-8fd9-ecb98ac48446") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8ecb1c190da8b84b25696d4818401cb189f584af336e9add771c43a5529e6082
- Size of remote file:
- 6.84 kB
- SHA256:
- 8dc78131d0a6fdda9d60f54c3debdf2468ac265eb0db18b2b5a064d150b5b110
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