Instructions to use eunjin/koMHBERT-krbert-based-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eunjin/koMHBERT-krbert-based-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="eunjin/koMHBERT-krbert-based-v1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("eunjin/koMHBERT-krbert-based-v1") model = AutoModel.from_pretrained("eunjin/koMHBERT-krbert-based-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from eunjin/koMHBERT-krbert-based-v1: direct link, hf CLI and curl.
- Browser
- Download file 406 MB
-
https://huggingface.co/eunjin/koMHBERT-krbert-based-v1/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://eunjin/koMHBERT-krbert-based-v1/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/eunjin/koMHBERT-krbert-based-v1/resolve/main/flax_model.msgpack
406 MB
- Xet hash:
- 3a09d1d8391e561dd5f993b66f4ee52b3e58ec3a01ad97b74f6e20c2043cf841
- Size of remote file:
- 406 MB
- SHA256:
- 2285090a1ad506b50a3428b59908c13e515aede6e06c22187f0e855dde5773c7
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