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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8efcd64a3237b0f5ac7aae938c68484cd7bedbc83f3056cd38d2bcf4fdb7f06c
- Size of remote file:
- 1.47 GB
- SHA256:
- fadeacf33fd25f1c235f2b3130443e1890c85af73703a5b3aeda15a6d40a253d
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