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:
- 3c0cbe29d94d23a5557ada5b737c59cf14aaf241aa09d11eddf5c169082c6f5a
- Size of remote file:
- 3.64 kB
- SHA256:
- 7ba18282d7ff05f4ac58bee9f750b95a7fe0ebd76204bb7fcf27f24f3caf529c
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