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:
- a7d6c9fe42a8a465fa214653cc3cbc5335d4ca0beb1ab69dbd46767a444b78e2
- Size of remote file:
- 3.58 kB
- SHA256:
- 0cc7a4b4536e1ec6b7390f99270c6100899a2b8b8a1e7855a9ac40d2325bf04f
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