Instructions to use Pawamami/Pmp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- AllenNLP
How to use Pawamami/Pmp with AllenNLP:
import allennlp_models from allennlp.predictors.predictor import Predictor predictor = Predictor.from_path("hf://Pawamami/Pmp") - Notebooks
- Google Colab
- Kaggle
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Download README.md from Pawamami/Pmp: direct link, hf CLI and curl.
- Browser
- Download file 171 Bytes
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https://huggingface.co/Pawamami/Pmp/resolve/main/README.md
- Command line
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hf download hf://Pawamami/Pmp/README.md
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curl -L -o README.md https://huggingface.co/Pawamami/Pmp/resolve/main/README.md
171 Bytes
| license: bigscience-bloom-rail-1.0 | |
| datasets: | |
| - HuggingFaceM4/WebSight | |
| language: | |
| - ha | |
| - fr | |
| metrics: | |
| - bleu | |
| library_name: allennlp | |
| pipeline_tag: text2text-generation | |