Feature Extraction
Transformers
PyTorch
Tagalog
bert
tagalog
dependency-parsing
contrastive-learning
syntax
low-resource
text-embeddings-inference
Instructions to use paulbontempo/bert-tagalog-dependency-cl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use paulbontempo/bert-tagalog-dependency-cl with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="paulbontempo/bert-tagalog-dependency-cl")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("paulbontempo/bert-tagalog-dependency-cl") model = AutoModel.from_pretrained("paulbontempo/bert-tagalog-dependency-cl") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened 6 months ago
by
SFconvertbot