Instructions to use dhanikitkat/topic-modelling-indo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dhanikitkat/topic-modelling-indo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dhanikitkat/topic-modelling-indo")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dhanikitkat/topic-modelling-indo") model = AutoModelForSequenceClassification.from_pretrained("dhanikitkat/topic-modelling-indo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from dhanikitkat/topic-modelling-indo: direct link, hf CLI and curl.
- Browser
- Download file 498 MB
-
https://huggingface.co/dhanikitkat/topic-modelling-indo/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://dhanikitkat/topic-modelling-indo/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/dhanikitkat/topic-modelling-indo/resolve/main/pytorch_model.bin
498 MB
- Xet hash:
- 171ef912c307ec749dddf9b8a0a0497fa7d563f97e0212eaf43e911a6dfdfd1d
- Size of remote file:
- 498 MB
- SHA256:
- f99a1ef140e51393c29789fe0f66d7fa377f1c353e81d27e1d5ac2f190056bba
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