Instructions to use badosexy/atmodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- AllenNLP
How to use badosexy/atmodel with AllenNLP:
import allennlp_models from allennlp.predictors.predictor import Predictor predictor = Predictor.from_path("hf://badosexy/atmodel") - Notebooks
- Google Colab
- Kaggle
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Download README.md from badosexy/atmodel: direct link, hf CLI and curl.
- Browser
- Download file 234 Bytes
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https://huggingface.co/badosexy/atmodel/resolve/main/README.md
- Command line
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hf download hf://badosexy/atmodel/README.md
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curl -L -o README.md https://huggingface.co/badosexy/atmodel/resolve/main/README.md
234 Bytes
metadata
datasets:
- HuggingFaceFW/finepdfs
- fka/awesome-chatgpt-prompts
metrics:
- accuracy
base_model:
- rasbt/qwen3-from-scratch
new_version: tencent/SRPO
pipeline_tag: summarization
library_name: allennlp
tags:
- chemistry
- legal