Instructions to use ThuanPhong/wikibert-finetuned-vsmec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ThuanPhong/wikibert-finetuned-vsmec with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ThuanPhong/wikibert-finetuned-vsmec")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ThuanPhong/wikibert-finetuned-vsmec") model = AutoModelForSequenceClassification.from_pretrained("ThuanPhong/wikibert-finetuned-vsmec", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- faa9590b76f75026e5f0af385ce3e3f2f51a1ff4c9a352b95b1e735960b8be89
- Size of remote file:
- 3.64 kB
- SHA256:
- 639254c76b2dc33b3ab0c20866fd5f3952030130d77a1f5e10ae6d64bd1ccb3d
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