Text Classification
Transformers
Safetensors
Indonesian
English
xlm-roberta
Health Topic Classification
indonesian
english
multilingual
health
text-embeddings-inference
Instructions to use iqbalpurba26/health-topic-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use iqbalpurba26/health-topic-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="iqbalpurba26/health-topic-classification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("iqbalpurba26/health-topic-classification") model = AutoModelForSequenceClassification.from_pretrained("iqbalpurba26/health-topic-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from iqbalpurba26/health-topic-classification: direct link, hf CLI and curl.
- Browser
- Download file 5.2 kB
-
https://huggingface.co/iqbalpurba26/health-topic-classification/resolve/main/training_args.bin
- Command line
-
hf download hf://iqbalpurba26/health-topic-classification/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/iqbalpurba26/health-topic-classification/resolve/main/training_args.bin
5.2 kB
- Xet hash:
- b712e7579574253af56688b63332aeb601473d09e8f39434b2969d886fba7ef4
- Size of remote file:
- 5.2 kB
- SHA256:
- 0c1af34193164f0b26149c62e6f2a21484ed298235b50e50f74702bf7c3e1247
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.