Instructions to use daniel40/6d288ac8-ccb4-48e8-be49-cb03006e7002 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use daniel40/6d288ac8-ccb4-48e8-be49-cb03006e7002 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("facebook/opt-350m") model = PeftModel.from_pretrained(base_model, "daniel40/6d288ac8-ccb4-48e8-be49-cb03006e7002") - Notebooks
- Google Colab
- Kaggle
6d288ac8-ccb4-48e8-be49-cb03006e7002
This model is a fine-tuned version of facebook/opt-350m on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.8313
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 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1
- Downloads last month
- 1
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Model tree for daniel40/6d288ac8-ccb4-48e8-be49-cb03006e7002
Base model
facebook/opt-350m