Instructions to use eunjin/koMHBERT-kcbert-based-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eunjin/koMHBERT-kcbert-based-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="eunjin/koMHBERT-kcbert-based-v1")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("eunjin/koMHBERT-kcbert-based-v1") model = AutoModel.from_pretrained("eunjin/koMHBERT-kcbert-based-v1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9c696ce86794f4bf72c9221dca4c40caf54cf3e2a830880aa2434f3bd4b3135d
- Size of remote file:
- 436 MB
- SHA256:
- b4de26089f68094319aabee74c2997dafd019b4a11c6d05ddf118c005e0e1f54
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