Instructions to use jgalford/Reddit_Sentiment_Analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jgalford/Reddit_Sentiment_Analysis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jgalford/Reddit_Sentiment_Analysis")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jgalford/Reddit_Sentiment_Analysis") model = AutoModelForSequenceClassification.from_pretrained("jgalford/Reddit_Sentiment_Analysis", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bc154ac6b20d0fec1b4b08f66783cd8899781b1eb934bdeb406dc86a6d97089e
- Size of remote file:
- 738 MB
- SHA256:
- 89accbc0776efbff344f2a6716c4a59d9eb3f818a765b6d07934cc0a85006d30
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