Instructions to use CrisisNarratives/adapter-8classes-multi_label with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CrisisNarratives/adapter-8classes-multi_label with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("CrisisNarratives/adapter-8classes-multi_label") model = AutoModelForSeq2SeqLM.from_pretrained("CrisisNarratives/adapter-8classes-multi_label", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5151160f367bca9d15dd2f01bf2958923238b6d3ecc4138e80ea57639ea3b479
- Size of remote file:
- 3.38 kB
- SHA256:
- c3e59d1ecb3b221e8e78f7b42ab83c6eadd979d587576a0b7832cce8a9040efe
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