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:
- f1c16437b120916c5320a52833c5aaa5afdb9b19f450cdbf45f11bc4c3fbaf03
- Size of remote file:
- 438 MB
- SHA256:
- 18f634c4ebf81aec41d5e647a1679ce73fa7bbce0467fd5b43a6841eeaf9e83a
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