Instructions to use augustocsc/gpt2_medium_prefix_682k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use augustocsc/gpt2_medium_prefix_682k with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("gpt2-medium") model = PeftModel.from_pretrained(base_model, "augustocsc/gpt2_medium_prefix_682k") - Notebooks
- Google Colab
- Kaggle
Download classes/__init__.py from augustocsc/gpt2_medium_prefix_682k: direct link, hf CLI and curl.
- Browser
- Download file 294 Bytes
-
https://huggingface.co/augustocsc/gpt2_medium_prefix_682k/resolve/main/classes/__init__.py
- Command line
-
hf download hf://augustocsc/gpt2_medium_prefix_682k/classes/__init__.py
-
curl -L -o __init__.py https://huggingface.co/augustocsc/gpt2_medium_prefix_682k/resolve/main/classes/__init__.py
294 Bytes
| """ | |
| Seriguela - Classes for symbolic regression with LLMs. | |
| This module provides core classes for expression parsing, validation, | |
| and dataset management. | |
| """ | |
| from .expression import Expression | |
| from .dataset import Dataset | |
| __all__ = [ | |
| 'Expression', | |
| 'Dataset', | |
| ] | |
| __version__ = '1.0.0' | |