Instructions to use CrisisNarratives/adapter-13classes-multi_label with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CrisisNarratives/adapter-13classes-multi_label with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("CrisisNarratives/adapter-13classes-multi_label") model = AutoModelForSeq2SeqLM.from_pretrained("CrisisNarratives/adapter-13classes-multi_label") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 54361b59792ecb3f7cf54d00e0fddb43b154558a96ca1892b2211378380a122a
- Size of remote file:
- 3.45 kB
- SHA256:
- 7cb35263254ca5f7175eef32524afd2474b3efae8d983803aff22a78e613e8bd
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