Instructions to use dafqi/IndoBertTweet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dafqi/IndoBertTweet with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dafqi/IndoBertTweet")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dafqi/IndoBertTweet") model = AutoModelForSequenceClassification.from_pretrained("dafqi/IndoBertTweet", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from dafqi/IndoBertTweet: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/dafqi/IndoBertTweet/resolve/main/training_args.bin
- Command line
-
hf download hf://dafqi/IndoBertTweet/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/dafqi/IndoBertTweet/resolve/main/training_args.bin
5.11 kB
- Xet hash:
- 7aabb576d1df88f19885b1c2f6337ab5ce419f82d25c7a8eeb64f479dae8bcb0
- Size of remote file:
- 5.11 kB
- SHA256:
- b4d12a39ceb5573efe5924bec825649d0236d9eaf824578a3cc2102a2ffded71
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