Instructions to use KingAsiedu/sentence_sentiments_analysis_bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KingAsiedu/sentence_sentiments_analysis_bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="KingAsiedu/sentence_sentiments_analysis_bert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("KingAsiedu/sentence_sentiments_analysis_bert") model = AutoModelForSequenceClassification.from_pretrained("KingAsiedu/sentence_sentiments_analysis_bert") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:fd61acde7870729e84fcb7a0e0ab812ee2f0798e6b00ac9b487d94484d345f29
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size 433270768
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