Instructions to use rayonlabs/pythia-70m-gsm8k-b222ded9-403c-4db5-a5de-962567cdbc68 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use rayonlabs/pythia-70m-gsm8k-b222ded9-403c-4db5-a5de-962567cdbc68 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("EleutherAI/pythia-70m") model = PeftModel.from_pretrained(base_model, "rayonlabs/pythia-70m-gsm8k-b222ded9-403c-4db5-a5de-962567cdbc68") - Notebooks
- Google Colab
- Kaggle
annemiekebickleyoy/acc8d85b-b708-41dc-9c2d-1e2738d995ff
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.9962
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Framework versions
- PEFT 0.13.2
- Transformers 4.46.3
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.20.3
- Downloads last month
- 2
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Model tree for rayonlabs/pythia-70m-gsm8k-b222ded9-403c-4db5-a5de-962567cdbc68
Base model
EleutherAI/pythia-70m