Instructions to use PaulTran/vietnamese_essay_identify with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PaulTran/vietnamese_essay_identify with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="PaulTran/vietnamese_essay_identify")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("PaulTran/vietnamese_essay_identify") model = AutoModelForSequenceClassification.from_pretrained("PaulTran/vietnamese_essay_identify") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3f1a5ba360eeee79351de179777b781ab90667aef5711527f4a6e1935f454734
- Size of remote file:
- 540 MB
- SHA256:
- da659a981766329244259da57bae57cdc6ba95b562c5d4e3150e484daefd5efc
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.