Instructions to use TwoheartsTechnologies/GoiBERT-M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TwoheartsTechnologies/GoiBERT-M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="TwoheartsTechnologies/GoiBERT-M")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("TwoheartsTechnologies/GoiBERT-M") model = AutoModel.from_pretrained("TwoheartsTechnologies/GoiBERT-M", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
3 days ago
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Link bilingual Nôm Lab research overview and declare Transformers
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6 days ago
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Align model card with the arXiv paper (2610.30067): paper naming, 8-task results, limitations, citation
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8 days ago
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Add GoiBERT Community Model License v1.0 and upstream notices
Verified signatureAdd LICENSE, NOTICE and upstream BSD-3-Clause-Clear / Qualcomm RAIL documents. Set custom license metadata and document research, small-business and enterprise terms in the model card.67e8142
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Upload README.md with huggingface_hub
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