Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use NPCProgrammer/BERT_Emotions_tuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NPCProgrammer/BERT_Emotions_tuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="NPCProgrammer/BERT_Emotions_tuned")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("NPCProgrammer/BERT_Emotions_tuned") model = AutoModelForSequenceClassification.from_pretrained("NPCProgrammer/BERT_Emotions_tuned") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d6576e53aafcbbd29827bbf0e2cf3a2026f30280f85659c1558aef674e36b17a
- Size of remote file:
- 438 MB
- SHA256:
- aed43988fe4339520a32c522473e0453f3da5d44bb0525696610fc55e3262e46
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