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
8 days ago
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Add library_name, pipeline_tag, and links to paper and code
Verified signatureThis PR improves the model card by adding the `library_name` and `pipeline_tag` metadata, so the model is correctly categorized and a "Use in Transformers" snippet is enabled. It also adds direct links to the paper and the GitHub code repository for better discoverability.bb15229
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