Instructions to use cvelist/spidder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cvelist/spidder with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("cvelist/spidder", dtype="auto", device_map="auto") - Notebooks
- Google Colab
- Kaggle
metadata
license: mit
task_categories:
- text-generation
pretty_name: Spidder
size_categories:
- n>1T
configs:
- config_name: default
data_files:
- split: train
path: data/*/*
- config_name: sample-10BT
library_name: transformers