Instructions to use TwoheartsTechnologies/GoiBERT-S with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TwoheartsTechnologies/GoiBERT-S with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="TwoheartsTechnologies/GoiBERT-S")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("TwoheartsTechnologies/GoiBERT-S") model = AutoModel.from_pretrained("TwoheartsTechnologies/GoiBERT-S", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download NOTICE from TwoheartsTechnologies/GoiBERT-S: direct link, hf CLI and curl.
- Browser
- Download file 2.74 kB
-
https://huggingface.co/TwoheartsTechnologies/GoiBERT-S/resolve/main/NOTICE
- Command line
-
hf download hf://TwoheartsTechnologies/GoiBERT-S/NOTICE
-
curl -L -o NOTICE https://huggingface.co/TwoheartsTechnologies/GoiBERT-S/resolve/main/NOTICE
2.74 kB
| GOIBERT-S AND GOIBERT-M | |
| THIRD-PARTY ATTRIBUTIONS AND NOTICES | |
| Copyright (c) 2026 CÔNG TY TNHH TWOHEARTS TECHNOLOGIES, for its original | |
| GoiBERT contributions. All third-party rights remain with their owners. | |
| Licensor: CÔNG TY TNHH TWOHEARTS TECHNOLOGIES | |
| Vietnam tax code: 0319350288 | |
| Commercial licensing contact: nhan@twohearts.vn | |
| Model repositories: | |
| https://huggingface.co/TwoheartsTechnologies/GoiBERT-S | |
| https://huggingface.co/TwoheartsTechnologies/GoiBERT-M | |
| 1. BamiBERT | |
| GoiBERT-S and GoiBERT-M were developed through general distillation from | |
| BamiBERT. Student word embeddings were initialized by PCA projection of | |
| BamiBERT word embeddings. The models use the BamiBERT tokenizer. | |
| Upstream repository: | |
| https://huggingface.co/Qualcomm-AI-Research/BamiBERT | |
| Upstream revision: | |
| 57bc1340debbe4e348ec549047a763caebe4a977 | |
| BamiBERT is released under the BSD-3-Clause-Clear license and the Qualcomm | |
| Responsible AI License. Applicable upstream license terms, copyright | |
| notices and disclaimers remain in effect. The GoiBERT Community Model | |
| License applies to Twohearts' licensable contributions and does not replace | |
| or waive rights or obligations under these third-party licenses. | |
| Applicable upstream license texts: | |
| licenses/BSD-3-Clause-Clear.txt | |
| licenses/Qualcomm-RAIL.txt | |
| BSD-3-Clause-Clear reference: | |
| https://spdx.org/licenses/BSD-3-Clause-Clear.html | |
| Qualcomm Responsible AI License: | |
| https://www.qualcomm.com/site/responsible-ai-license | |
| BamiBERT reference: | |
| Dat Quoc Nguyen, Thinh Pham, Chi Tran, and Linh The Nguyen. | |
| BamiBERT: A New BERT-based Language Model for Vietnamese. | |
| arXiv:2607.02259, 2026. | |
| https://arxiv.org/abs/2607.02259 | |
| 2. Training-data attribution | |
| The general-distillation corpus includes HPLT 3.0 Vietnamese web text, | |
| Vietnamese Wikipedia text, user-generated text extracted from HPLT, and | |
| unlabeled training-split text from UIT-VSFC, UIT-ViSFD, UIT-ABSA Restaurant, | |
| UIT-ABSA Hotel, ViSpamReviews, ViNLI and PhoNER_COVID19. | |
| HPLT 3.0: | |
| https://huggingface.co/datasets/HPLT/HPLT3.0 | |
| UIT-ViSFD: | |
| Luong Luc Phan et al. SA2SL: From Aspect-Based Sentiment Analysis to Social | |
| Listening System for Business Intelligence. KSEM 2021, pages 647-658. | |
| https://doi.org/10.1007/978-3-030-82147-0_53 | |
| https://github.com/LuongPhan/UIT-ViSFD | |
| Dataset rights remain with their respective rights holders. This notice | |
| provides attribution and does not grant rights to reproduce or redistribute | |
| the underlying datasets. The model license does not replace applicable | |
| third-party permissions or terms. | |
| 3. Trademarks and endorsement | |
| All third-party names and marks belong to their respective owners. | |
| References to BamiBERT, Qualcomm, dataset authors or institutions identify | |
| provenance and do not imply sponsorship, affiliation or endorsement. | |