Instructions to use raviadi123/Indo-hate-speech-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use raviadi123/Indo-hate-speech-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="raviadi123/Indo-hate-speech-bert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("raviadi123/Indo-hate-speech-bert") model = AutoModelForSequenceClassification.from_pretrained("raviadi123/Indo-hate-speech-bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from raviadi123/Indo-hate-speech-bert: direct link, hf CLI and curl.
- Browser
- Download file 712 MB
-
https://huggingface.co/raviadi123/Indo-hate-speech-bert/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://raviadi123/Indo-hate-speech-bert/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/raviadi123/Indo-hate-speech-bert/resolve/main/pytorch_model.bin
712 MB
- Xet hash:
- b986005cfc519a2510e6981126c07486e1dbbae5ce901f60b44acc4da7c900ed
- Size of remote file:
- 712 MB
- SHA256:
- bc7462cc5678e6e44ff61fcfa6d1cc9021a9c508a4d18c3c79c4b60211c142e2
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