Text Classification
Transformers
Safetensors
Vietnamese
roberta
vietnamese
sentiment-analysis
PhoBERT
Eval Results (legacy)
Instructions to use vanhai123/phobert-vi-comment-4class with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vanhai123/phobert-vi-comment-4class with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="vanhai123/phobert-vi-comment-4class")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("vanhai123/phobert-vi-comment-4class") model = AutoModelForSequenceClassification.from_pretrained("vanhai123/phobert-vi-comment-4class", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from vanhai123/phobert-vi-comment-4class: direct link, hf CLI and curl.
- Browser
- Download file 5.24 kB
-
https://huggingface.co/vanhai123/phobert-vi-comment-4class/resolve/main/training_args.bin
- Command line
-
hf download hf://vanhai123/phobert-vi-comment-4class/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/vanhai123/phobert-vi-comment-4class/resolve/main/training_args.bin
5.24 kB
- Xet hash:
- 50e58f2188a0ba36a61c01ace6e1b73e136dbdc52161bf5251588f671897d819
- Size of remote file:
- 5.24 kB
- SHA256:
- 4b1951bd5550499fdeab17110bc6249bfa702e2ebfb6ec00382da774e4f887eb
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