Instructions to use wyluilipe/wb-themes-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wyluilipe/wb-themes-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="wyluilipe/wb-themes-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("wyluilipe/wb-themes-classification") model = AutoModelForSequenceClassification.from_pretrained("wyluilipe/wb-themes-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5048d8fdf99281ec3f65f36197f15c0c1d39889783841077950eefc0bd6cb7d3
- Size of remote file:
- 4.66 kB
- SHA256:
- 17b00c80253e08a87b0d7eda96a85820381629c2b1ca4fd1e571a9dfdec32f21
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