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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6e510134016326bf5996f78fcf3f4bf507c5e39084bbc122bf1c93504c0b3af7
- Size of remote file:
- 4.92 kB
- SHA256:
- f8b318241e0b10355559f13eaa6e0a00519ba14846e44cb43236132cd3430b04
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