Instructions to use SiraH/wangchanberta-base-att-spm-uncased-finetuned-wongnaireviewdataset with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SiraH/wangchanberta-base-att-spm-uncased-finetuned-wongnaireviewdataset with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SiraH/wangchanberta-base-att-spm-uncased-finetuned-wongnaireviewdataset")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SiraH/wangchanberta-base-att-spm-uncased-finetuned-wongnaireviewdataset") model = AutoModelForSequenceClassification.from_pretrained("SiraH/wangchanberta-base-att-spm-uncased-finetuned-wongnaireviewdataset", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Check out the documentation for more information.
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