Instructions to use petabyte/unang_mang_bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use petabyte/unang_mang_bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="petabyte/unang_mang_bert")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("petabyte/unang_mang_bert") model = AutoModel.from_pretrained("petabyte/unang_mang_bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 275 Bytes
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language:
- Tagalog
thumbnail:
tags:
- Tagalog
- Mang Bert
license: apache-2.0
datasets:
- OSCAR tl
---
# Mang Bert
## Model description
Fine-Tuned Roberta Model using RobertaForMaskedLM
Tagalog Dataset from OSCAR tl
## Training data
458206 text dataset from OSCAR
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