Instructions to use BaoNhan/phobert-base-vifn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BaoNhan/phobert-base-vifn with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="BaoNhan/phobert-base-vifn")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BaoNhan/phobert-base-vifn") model = AutoModelForSequenceClassification.from_pretrained("BaoNhan/phobert-base-vifn", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ee9aa0578718f9a968ff5cb9f1dcd1a05014ec88a4e4f0711d571b4e243f5fc8
- Size of remote file:
- 540 MB
- SHA256:
- 5adbde39d4f77f1d5a2ec1129676a0d8f6105f107df757edf29044ae1ce71fc0
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