Instructions to use dafqi/indoDistilBertweet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dafqi/indoDistilBertweet with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dafqi/indoDistilBertweet")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dafqi/indoDistilBertweet") model = AutoModelForSequenceClassification.from_pretrained("dafqi/indoDistilBertweet", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from dafqi/indoDistilBertweet: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/dafqi/indoDistilBertweet/resolve/main/training_args.bin
- Command line
-
hf download hf://dafqi/indoDistilBertweet/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/dafqi/indoDistilBertweet/resolve/main/training_args.bin
5.11 kB
- Xet hash:
- 279947ff4cd065ecc322f635ebda1cf1b6cd59cb374175ef56b4e1ea0a1cc1ce
- Size of remote file:
- 5.11 kB
- SHA256:
- 79db73b56ec733e92016d5526d596206280176c31bc3960e69ddf63f93ab7b2a
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