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/Models/tokenizer_config.json from mibrahimalpha/green-patent-detection: direct link, hf CLI and curl.
- Browser
- Download file 365 Bytes
-
https://huggingface.co/mibrahimalpha/green-patent-detection/resolve/main/assignment3/Models/tokenizer_config.json
- Command line
-
hf download hf://mibrahimalpha/green-patent-detection/assignment3/Models/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/mibrahimalpha/green-patent-detection/resolve/main/assignment3/Models/tokenizer_config.json
365 Bytes
| { | |
| "backend": "tokenizers", | |
| "bos_token": "<s>", | |
| "cls_token": "<s>", | |
| "do_lower_case": true, | |
| "eos_token": "</s>", | |
| "is_local": false, | |
| "mask_token": "<mask>", | |
| "model_max_length": 512, | |
| "pad_token": "<pad>", | |
| "sep_token": "</s>", | |
| "strip_accents": null, | |
| "tokenize_chinese_chars": true, | |
| "tokenizer_class": "MPNetTokenizer", | |
| "unk_token": "[UNK]" | |
| } | |