Instructions to use hungphongtrn/phobert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hungphongtrn/phobert-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hungphongtrn/phobert-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("hungphongtrn/phobert-base") model = AutoModelForTokenClassification.from_pretrained("hungphongtrn/phobert-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): cc0ab43
Training in progress, epoch 9
Browse files
pytorch_model.bin
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runs/May28_16-25-11_labserver/events.out.tfevents.1716913517.labserver.990500.0
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