Instructions to use moshew/bert-tiny-emotion-distilled with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use moshew/bert-tiny-emotion-distilled with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="moshew/bert-tiny-emotion-distilled")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("moshew/bert-tiny-emotion-distilled") model = AutoModelForSequenceClassification.from_pretrained("moshew/bert-tiny-emotion-distilled") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b9cad80a8baaa9b54738480ad54c0a5ed481a18f1436f6df64d9e92bb8d282a9
- Size of remote file:
- 17.6 MB
- SHA256:
- 46c6e65330506e8fafdfd5fe50fcb5fd0e76ab81c8256733f87b9152d3c4c969
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