Instructions to use daccuong2002/PhoBert-SingleLabel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use daccuong2002/PhoBert-SingleLabel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="daccuong2002/PhoBert-SingleLabel")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("daccuong2002/PhoBert-SingleLabel") model = AutoModelForSequenceClassification.from_pretrained("daccuong2002/PhoBert-SingleLabel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files
runs/Jul19_08-07-48_r-daccuong2002-runmay2-vsrjgl1q-7c095-82rgw/events.out.tfevents.1721376470.r-daccuong2002-runmay2-vsrjgl1q-7c095-82rgw.96.0
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