Instructions to use daccuong2002/PhoBert-MultiLabel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use daccuong2002/PhoBert-MultiLabel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="daccuong2002/PhoBert-MultiLabel")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("daccuong2002/PhoBert-MultiLabel") model = AutoModelForSequenceClassification.from_pretrained("daccuong2002/PhoBert-MultiLabel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files
runs/Jul19_08-06-56_r-daccuong2002-trainphobert-swxifvat-d170b-y6luj/events.out.tfevents.1721376417.r-daccuong2002-trainphobert-swxifvat-d170b-y6luj.106.0
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