Instructions to use jgalford/Reddit_Sentiment_Analysis_V2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jgalford/Reddit_Sentiment_Analysis_V2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jgalford/Reddit_Sentiment_Analysis_V2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jgalford/Reddit_Sentiment_Analysis_V2") model = AutoModelForSequenceClassification.from_pretrained("jgalford/Reddit_Sentiment_Analysis_V2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 98b264d489139f1d69cb8e4cc5ac8e71d89f169d534fdc46d700a7805bb586b6
- Size of remote file:
- 738 MB
- SHA256:
- 19ee97b8efe3982471ffde569548be594e8cc370ddd67e39bc1efb23bca60474
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