Instructions to use CrisisNarratives/adapter-13classes-single_label with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CrisisNarratives/adapter-13classes-single_label with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("CrisisNarratives/adapter-13classes-single_label") model = AutoModelForSeq2SeqLM.from_pretrained("CrisisNarratives/adapter-13classes-single_label", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6b06180d3c7a8350702a464ee31c84a07f0cba7a45f8cc844865daa4d9f1251c
- Size of remote file:
- 899 MB
- SHA256:
- 058007ccf1dff0f709016fb19dc3d857b4508b7913b6bfa41fa4e03d51d4f40f
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