Instructions to use ThuanPhong/phobertbase-finetuned-vsmec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ThuanPhong/phobertbase-finetuned-vsmec with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ThuanPhong/phobertbase-finetuned-vsmec")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ThuanPhong/phobertbase-finetuned-vsmec") model = AutoModelForSequenceClassification.from_pretrained("ThuanPhong/phobertbase-finetuned-vsmec", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9229767e34229ee3cf27e7c7baac9751c217f214dedf48375d44f1250e124f0f
- Size of remote file:
- 540 MB
- SHA256:
- 5b86189495b8d291b91b546eb02272c595455823b5276e27649a77eb03780109
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