Text Classification
Transformers
PyTorch
TensorFlow
Safetensors
Indonesian
roberta
text-embeddings-inference
Instructions to use StevenLimcorn/indonesian-roberta-base-emotion-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use StevenLimcorn/indonesian-roberta-base-emotion-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="StevenLimcorn/indonesian-roberta-base-emotion-classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("StevenLimcorn/indonesian-roberta-base-emotion-classifier") model = AutoModelForSequenceClassification.from_pretrained("StevenLimcorn/indonesian-roberta-base-emotion-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (3625e4dbcd1aee1a3a087b9809ea9cbd96b297ae) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>1b9a48d
-
Update README.md
daf8cb6
-
Update README.md
e8a9cb9 -
Heading title updated
c96109d
-
Update README.md
8fa740c
-
Create README
85544c7 -
initial commit; fine-tuned on EmoT
77d1188 -
initial commit; fine-tuned on EmoT
3ece311 -
initial commit
918226e