Instructions to use inedcom/clases with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use inedcom/clases with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("inedcom/clases", set_active=True) - Notebooks
- Google Colab
- Kaggle
|
Download README.md from inedcom/clases: direct link, hf CLI and curl.
- Browser
- Download file 207 Bytes
-
https://huggingface.co/inedcom/clases/resolve/main/README.md
- Command line
-
hf download hf://inedcom/clases/README.md
-
curl -L -o README.md https://huggingface.co/inedcom/clases/resolve/main/README.md
207 Bytes
metadata
license: bigscience-bloom-rail-1.0
datasets:
- fka/awesome-chatgpt-prompts
language:
- es
metrics:
- accuracy
library_name: adapter-transformers
pipeline_tag: table-question-answering
tags:
- biology