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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mibrahimalpha/green-patent-detection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download assignment3/Data/train_assignment2.csv from mibrahimalpha/green-patent-detection: direct link, hf CLI and curl.
- Browser
- Download file 35.6 MB
-
https://huggingface.co/mibrahimalpha/green-patent-detection/resolve/main/assignment3/Data/train_assignment2.csv
- Command line
-
hf download hf://mibrahimalpha/green-patent-detection/assignment3/Data/train_assignment2.csv
-
curl -L -o train_assignment2.csv https://huggingface.co/mibrahimalpha/green-patent-detection/resolve/main/assignment3/Data/train_assignment2.csv
35.6 MB
- Xet hash:
- 582dabc4d6db96c5eba7dbfd8cbe3aa14bbed72982653c1bdd27db6084b5a7d0
- Size of remote file:
- 35.6 MB
- SHA256:
- 175c3c1c10c817364cef685b1056260673fdef7abf04d4eaece2d25c7a758723
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