Instructions to use EmotiScan/amazon-comments-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EmotiScan/amazon-comments-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="EmotiScan/amazon-comments-bert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("EmotiScan/amazon-comments-bert") model = AutoModelForSequenceClassification.from_pretrained("EmotiScan/amazon-comments-bert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b093035a8516426c748b7dadb74dfeff5280f58997789dc2b769e16dfd8f687c
- Size of remote file:
- 736 MB
- SHA256:
- 61e9bb79cd2951ba9817875f52f123f7e0cdcf8e155def6095f3d177da7a2b9e
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