Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use ThePromptKing/bert_emo_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ThePromptKing/bert_emo_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ThePromptKing/bert_emo_classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ThePromptKing/bert_emo_classifier") model = AutoModelForSequenceClassification.from_pretrained("ThePromptKing/bert_emo_classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- de8c4a6c72d8e53288e4b247ac579d0ccf30ef96431618c88181292ebd0bbcea
- Size of remote file:
- 2.99 kB
- SHA256:
- 80b48400bc6a8dbc0cdbca01c9f7470eb9e59c3cba27d94f543f2bbd0f62a96f
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