Instructions to use huang090/2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Fairseq
How to use huang090/2 with Fairseq:
from fairseq.checkpoint_utils import load_model_ensemble_and_task_from_hf_hub models, cfg, task = load_model_ensemble_and_task_from_hf_hub( "huang090/2" ) - Notebooks
- Google Colab
- Kaggle
metadata
license: bigscience-openrail-m
datasets:
- nvidia/Llama-Nemotron-Post-Training-Dataset
language:
- af
metrics:
- bertscore
base_model:
- black-forest-labs/FLUX.1-dev
new_version: ds4sd/SmolDocling-256M-preview
pipeline_tag: zero-shot-classification
library_name: fairseq