Text Classification
Transformers
Safetensors
Indonesian
bert
NLP
indobert
sentimen
text-embeddings-inference
Instructions to use Ha1dir/sentimen-indobert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ha1dir/sentimen-indobert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Ha1dir/sentimen-indobert")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Ha1dir/sentimen-indobert") model = AutoModelForSequenceClassification.from_pretrained("Ha1dir/sentimen-indobert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Ha1dir/sentimen-indobert: direct link, hf CLI and curl.
- Browser
- Download file 709 kB
-
https://huggingface.co/Ha1dir/sentimen-indobert/resolve/main/tokenizer.json
- Command line
-
hf download hf://Ha1dir/sentimen-indobert/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Ha1dir/sentimen-indobert/resolve/main/tokenizer.json
709 kB
File too large to display, you can check the raw version instead.