Text Classification
Transformers
PyTorch
TensorBoard
Safetensors
Indonesian
roberta
text-embeddings-inference
Instructions to use akahana/indonesia-emotion-roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use akahana/indonesia-emotion-roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="akahana/indonesia-emotion-roberta")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("akahana/indonesia-emotion-roberta") model = AutoModelForSequenceClassification.from_pretrained("akahana/indonesia-emotion-roberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from akahana/indonesia-emotion-roberta: direct link, hf CLI and curl.
- Browser
- Download file 3.18 kB
-
https://huggingface.co/akahana/indonesia-emotion-roberta/resolve/main/training_args.bin
- Command line
-
hf download hf://akahana/indonesia-emotion-roberta/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/akahana/indonesia-emotion-roberta/resolve/main/training_args.bin
3.18 kB
- Xet hash:
- 8d012273d7d5d740135e16b1e4a47f06bd60c228eda822a94a46c44e40b2b055
- Size of remote file:
- 3.18 kB
- SHA256:
- 6cab09402fae91d47e517626c4d13b73c28151f2c0c27edf88a8beb6d4e50314
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