Instructions to use agarc15/mega-base-wikitext-finetuned-PRC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use agarc15/mega-base-wikitext-finetuned-PRC with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="agarc15/mega-base-wikitext-finetuned-PRC")# Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("agarc15/mega-base-wikitext-finetuned-PRC", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d6e45fc45f76ba0f0743cc81968309a9c5e70748d4449abc412265bb4e016410
- Size of remote file:
- 29.4 MB
- SHA256:
- 1d14b4bf70c3b850911406bd0545f1179bb92ba5a644ae916e51a23e7b7bc697
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