Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use sanabar/roberta-goemo-journals with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sanabar/roberta-goemo-journals with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sanabar/roberta-goemo-journals")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sanabar/roberta-goemo-journals") model = AutoModelForSequenceClassification.from_pretrained("sanabar/roberta-goemo-journals") - Notebooks
- Google Colab
- Kaggle
roberta-goemo-journals
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
Training results
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1
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Model tree for sanabar/roberta-goemo-journals
Base model
SamLowe/roberta-base-go_emotions