Instructions to use Mimi1782/Hierarchy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- AllenNLP
How to use Mimi1782/Hierarchy with AllenNLP:
import allennlp_models from allennlp.predictors.predictor import Predictor predictor = Predictor.from_path("hf://Mimi1782/Hierarchy") - Notebooks
- Google Colab
- Kaggle
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Download README.md from Mimi1782/Hierarchy: direct link, hf CLI and curl.
- Browser
- Download file 231 Bytes
-
https://huggingface.co/Mimi1782/Hierarchy/resolve/main/README.md
- Command line
-
hf download hf://Mimi1782/Hierarchy/README.md
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curl -L -o README.md https://huggingface.co/Mimi1782/Hierarchy/resolve/main/README.md
231 Bytes
metadata
license: pddl
datasets:
- FutureMa/EvasionBench
language:
- uk
metrics:
- bleu
base_model:
- zai-org/GLM-OCR
new_version: nvidia/personaplex-7b-v1
pipeline_tag: time-series-forecasting
library_name: allennlp
tags:
- finance