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:
- 5cc51ad5352b54922f5c687e4f96103d16d2afd08cac06b9285d2353418ca1cc
- Size of remote file:
- 899 MB
- SHA256:
- 345eac14f84e86a418855bca534f76bb2e628380818ef75da44b78e93791c3df
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