Instructions to use leonweber/pedl-cpa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use leonweber/pedl-cpa with Transformers:
# Load model directly from transformers import AutoTokenizer, BertForDistantSupervision tokenizer = AutoTokenizer.from_pretrained("leonweber/pedl-cpa") model = BertForDistantSupervision.from_pretrained("leonweber/pedl-cpa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 76f92627552e317e1d15cb1bfad4002275018188d4d7e2f2a583f978039704a7
- Size of remote file:
- 433 MB
- SHA256:
- d76e5fc21616f5c798a118ba58418c2979d7cf7e531bb5b57a8d1ede2e88ece3
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