Text Classification
Transformers
PyTorch
Safetensors
Vietnamese
roberta
Vietnamese
sentiment
analysis
Instructions to use mr4/phobert-base-vi-sentiment-analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mr4/phobert-base-vi-sentiment-analysis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mr4/phobert-base-vi-sentiment-analysis")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mr4/phobert-base-vi-sentiment-analysis") model = AutoModelForSequenceClassification.from_pretrained("mr4/phobert-base-vi-sentiment-analysis", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
f4ef0e5
1
Parent(s): 2ae4669
Adding `safetensors` variant of this model
Browse files- model.safetensors +3 -0
model.safetensors
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oid sha256:1c9d694e8e4bb50666440fa049cc8da5cbb6c76097b287a25e58f65701e125d1
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size 540028612
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