Instructions to use LogischeIP/SentimentT2_GPT2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LogischeIP/SentimentT2_GPT2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="LogischeIP/SentimentT2_GPT2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("LogischeIP/SentimentT2_GPT2") model = AutoModelForSequenceClassification.from_pretrained("LogischeIP/SentimentT2_GPT2") - Notebooks
- Google Colab
- Kaggle
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- Jan24_14-37-05_579ed4a51ca4
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- Jan24_19-39-23_7d2b1e2d4e1a
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- Jan24_20-55-38_7d2b1e2d4e1a