Instructions to use Tonic/adaption_emir_reporting_code_gen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Tonic/adaption_emir_reporting_code_gen with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("togethercomputer/gpt-oss-120b-bf16") model = PeftModel.from_pretrained(base_model, "Tonic/adaption_emir_reporting_code_gen") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3f9da9fd3a090faf2ebfbcb7698e9f149cd686ab481b4e5b4a8d536d33b0b504
- Size of remote file:
- 191 MB
- SHA256:
- a71bab376bf7f68f7d78c876018a16802f4ac1760a580117b8866c3c1a22b0ad
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