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:
- c98682e2dc02f3e19765eb7a6b068cf7f6ea951af9775c2fb80cc5a9cd648c45
- Size of remote file:
- 3.45 kB
- SHA256:
- e3b9951f71ca48d7687634e7a779a4fd4658bef911aa0337c63653c755a61d9f
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