Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use Manirathinam21/bert_emo_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Manirathinam21/bert_emo_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Manirathinam21/bert_emo_classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Manirathinam21/bert_emo_classifier") model = AutoModelForSequenceClassification.from_pretrained("Manirathinam21/bert_emo_classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a501e7eadd83f08c6774f7b5aeeab5940a0f7a34b7d062520ed07182f6b7fd8a
- Size of remote file:
- 2.99 kB
- SHA256:
- 9317ae8f702a137b4af0361ff833fa7803f8b90b035c50869306a9a53d754da5
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