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:
- 3ddfe447598cf49d70a47e46d1f16ab2aab1b8f2eb563c37b0fd83f5d1aeaeba
- Size of remote file:
- 1.48 GB
- SHA256:
- 52f816b50babac26226844666269247ba1a9d1018695a671abb3c198290456dd
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