Instructions to use KernAI/community-sentiment-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KernAI/community-sentiment-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="KernAI/community-sentiment-bert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("KernAI/community-sentiment-bert") model = AutoModelForSequenceClassification.from_pretrained("KernAI/community-sentiment-bert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fcff93363a876c54b19c4d0e03095afcc52e149c5503ee545773aed3ef15e003
- Size of remote file:
- 433 MB
- SHA256:
- 3770a7c04d987711f19658af9ed99c7ed3ee29544733d4a13352fd695761438e
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