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 pytorch_model.bin from akahana/indonesia-emotion-roberta: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/akahana/indonesia-emotion-roberta/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://akahana/indonesia-emotion-roberta/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/akahana/indonesia-emotion-roberta/resolve/main/pytorch_model.bin
499 MB
- Xet hash:
- df365d0858acf12e47df674a01cd478d99b5d0f9ea98a69d0d4b72bcc17ab3b2
- Size of remote file:
- 499 MB
- SHA256:
- b1418c12a48de36b26a3d2b059299175cef5073e005396fedb13d6ae9764b225
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