Text Classification
Transformers
TensorBoard
Safetensors
albert
Generated from Trainer
Eval Results (legacy)
Instructions to use NPCProgrammer/ALBERT_Emotions_tuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NPCProgrammer/ALBERT_Emotions_tuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="NPCProgrammer/ALBERT_Emotions_tuned")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("NPCProgrammer/ALBERT_Emotions_tuned") model = AutoModelForSequenceClassification.from_pretrained("NPCProgrammer/ALBERT_Emotions_tuned") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c65b00b9ad7f2f772c5a5db83a438915beb9c5ea99e1c4caa8720dae8284dc95
- Size of remote file:
- 46.8 MB
- SHA256:
- 42f9f820f77dea3bcf0a6cad0bfb3b12b3464821863bcff0297ce95b4f05465a
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