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
Download tokenizer.json from StevenLimcorn/indonesian-roberta-base-emotion-classifier: direct link, hf CLI and curl.
- Browser
- Download file 1.38 MB
-
https://huggingface.co/StevenLimcorn/indonesian-roberta-base-emotion-classifier/resolve/main/tokenizer.json
- Command line
-
hf download hf://StevenLimcorn/indonesian-roberta-base-emotion-classifier/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/StevenLimcorn/indonesian-roberta-base-emotion-classifier/resolve/main/tokenizer.json
1.38 MB
File too large to display, you can check the raw version instead.