Transformers
Safetensors
English
patent-classification
green-patents
sustainability
multi-agent-systems
human-in-the-loop
patentsberta
y02-classification
uncertainty-sampling
Instructions to use mibrahimalpha/green-patent-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mibrahimalpha/green-patent-detection with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mibrahimalpha/green-patent-detection", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "__version__": { | |
| "sentence_transformers": "5.2.2", | |
| "transformers": "5.1.0", | |
| "pytorch": "2.10.0+cu128" | |
| }, | |
| "model_type": "SentenceTransformer", | |
| "prompts": { | |
| "query": "", | |
| "document": "" | |
| }, | |
| "default_prompt_name": null, | |
| "similarity_fn_name": "cosine" | |
| } |