Instructions to use ThuanPhong/phobertlarge-finetuned-vsmec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ThuanPhong/phobertlarge-finetuned-vsmec with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ThuanPhong/phobertlarge-finetuned-vsmec")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ThuanPhong/phobertlarge-finetuned-vsmec") model = AutoModelForSequenceClassification.from_pretrained("ThuanPhong/phobertlarge-finetuned-vsmec", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b090b96286b2f0771334a22d53c3d16ca33197a694f8219e2d2f8ab09e9d59b2
- Size of remote file:
- 3.64 kB
- SHA256:
- bd8627ad3a8b9d2edeb2bf7ddec896ad4875cd263e0c348de5660fc4e189c860
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