Instructions to use shobika04/distil-multi-final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shobika04/distil-multi-final with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="shobika04/distil-multi-final")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("shobika04/distil-multi-final") model = AutoModelForSequenceClassification.from_pretrained("shobika04/distil-multi-final", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c7df3a277727f9041eafef3d3bab1b32aab4b3fe867aa26fec5b25fdb51a0853
- Size of remote file:
- 17.1 MB
- SHA256:
- d0091a328b3441d754e481db5a390d7f3b8dabc6016869fd13ba350d23ddc4cd
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