Instructions to use daniel40/2c772a5d-e4ae-40ce-b018-fa1ab3557348 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use daniel40/2c772a5d-e4ae-40ce-b018-fa1ab3557348 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("tlphams/gollm-12.8b-instruct-v2.3") model = PeftModel.from_pretrained(base_model, "daniel40/2c772a5d-e4ae-40ce-b018-fa1ab3557348") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 41fe25b8a8fe0f5ebafd77095298e0e717ee253ee90a0e3f1e52223036af9edc
- Size of remote file:
- 420 MB
- SHA256:
- b4d5b863f96c0ab59d7c24ad0bad500735b267f1334d24efbe5f8193abf3ce04
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