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
|
Download README.md from badosexy/atmodel: direct link, hf CLI and curl.
- Browser
- Download file 234 Bytes
-
https://huggingface.co/badosexy/atmodel/resolve/main/README.md
- Command line
-
hf download hf://badosexy/atmodel/README.md
-
curl -L -o README.md https://huggingface.co/badosexy/atmodel/resolve/main/README.md
234 Bytes
| 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 | |