Instructions to use scaredmeow/roberta-tagalog-sentiment-shopee with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use scaredmeow/roberta-tagalog-sentiment-shopee with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="scaredmeow/roberta-tagalog-sentiment-shopee")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("scaredmeow/roberta-tagalog-sentiment-shopee") model = AutoModelForSequenceClassification.from_pretrained("scaredmeow/roberta-tagalog-sentiment-shopee", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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#2 opened over 2 years ago
by
rickdoniego
Adding `safetensors` variant of this model
#1 opened about 3 years ago
by
SFconvertbot