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:
- 3a9a6c42333829c729d7456feac398d586183851f9b6931dc91e22e537b23363
- Size of remote file:
- 4.92 kB
- SHA256:
- febcfe619d91ab9e9d8ed622af3fec14653b95d20d4ede0f4ce7b68b0c15dd14
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