Text Classification
Transformers
Safetensors
Indonesian
bert
indonesian
indobert
procurement
lpse
spse
tesis
xai
text-embeddings-inference
Instructions to use derhan/indobert-klasifikasi-alasan-tender-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use derhan/indobert-klasifikasi-alasan-tender-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="derhan/indobert-klasifikasi-alasan-tender-v2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("derhan/indobert-klasifikasi-alasan-tender-v2") model = AutoModelForSequenceClassification.from_pretrained("derhan/indobert-klasifikasi-alasan-tender-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from derhan/indobert-klasifikasi-alasan-tender-v2: direct link, hf CLI and curl.
- Browser
- Download file 498 MB
-
https://huggingface.co/derhan/indobert-klasifikasi-alasan-tender-v2/resolve/main/model.safetensors
- Command line
-
hf download hf://derhan/indobert-klasifikasi-alasan-tender-v2/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/derhan/indobert-klasifikasi-alasan-tender-v2/resolve/main/model.safetensors
498 MB
- Xet hash:
- a496b824aa3d206c877cff31bf0bdd0171929fff7740f02de23a56b16ffd240b
- Size of remote file:
- 498 MB
- SHA256:
- 5cab83f7d0203330fad2bc98a451e75326cec4c088bc8bb0230be2b4d05473a7
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