Instructions to use mSatashi/finetuned_IndoDiscourse_harm_multiclass with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mSatashi/finetuned_IndoDiscourse_harm_multiclass with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mSatashi/finetuned_IndoDiscourse_harm_multiclass")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mSatashi/finetuned_IndoDiscourse_harm_multiclass") model = AutoModelForSequenceClassification.from_pretrained("mSatashi/finetuned_IndoDiscourse_harm_multiclass") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 31a9210a4191f3c3a20a2acb2c5f4b98eebc7eef2ded25afef40dafbd30babb4
- Size of remote file:
- 5.14 kB
- SHA256:
- bae0438ae7ab68767d96713e0a620ea3db008320b5d049a8d5f66f364d94d418
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