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:
- 153b781489e8d09b83be3693dfbd47e15f725c877e5caa79ba42cff7cf86b04b
- Size of remote file:
- 4.09 kB
- SHA256:
- 8422d5029fae4a2e8895e4e3ac5df83613f28e3b6b362f1ea95115a0e2748b5e
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