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_assignment3.csv from mibrahimalpha/green-patent-detection: direct link, hf CLI and curl.
- Browser
- Download file 35.7 MB
-
https://huggingface.co/mibrahimalpha/green-patent-detection/resolve/main/assignment3/Data/train_assignment3.csv
- Command line
-
hf download hf://mibrahimalpha/green-patent-detection/assignment3/Data/train_assignment3.csv
-
curl -L -o train_assignment3.csv https://huggingface.co/mibrahimalpha/green-patent-detection/resolve/main/assignment3/Data/train_assignment3.csv
35.7 MB
- Xet hash:
- e6f66c355805cbc785af4ad17fb3137566f74a12a9bf94c7d8c6041bab9c7933
- Size of remote file:
- 35.7 MB
- SHA256:
- 719f30f5c938a949fa1a24011c6aa6064df5db1fd924d22619197e627a3b8f68
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