Instructions to use moyitech/bert_sentiment_analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use moyitech/bert_sentiment_analysis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="moyitech/bert_sentiment_analysis")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("moyitech/bert_sentiment_analysis") model = AutoModelForSequenceClassification.from_pretrained("moyitech/bert_sentiment_analysis") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 589ba2346e51b60605fecac2822ed750d4bf8e92e6871032fe82c20155c3f99c
- Size of remote file:
- 409 MB
- SHA256:
- db9f311f12867b402d736f9529582cd3c3dfea1ce6e14ac4cc443891580dce2e
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