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:
- 53f014ba4d464c3a28e91586c104a75684a3163f37fd8c725e66d916416b322c
- Size of remote file:
- 3.12 kB
- SHA256:
- 82ba32febcc53be7b6850dcd1af1bc0604e4945f7ce56ee570dc04fc8fca842c
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