Sinhala BERT
Collection
Sinhala BERT collection • 2 items • Updated • 1
How to use Ransaka/sinhala-bert-medium-v2 with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("fill-mask", model="Ransaka/sinhala-bert-medium-v2") # Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM
tokenizer = AutoTokenizer.from_pretrained("Ransaka/sinhala-bert-medium-v2")
model = AutoModelForMaskedLM.from_pretrained("Ransaka/sinhala-bert-medium-v2")This model is pretrained on Sinhala data srources.
hidden_size = 786
num_hidden_layers = 6
num_attention_heads = 6
intermediate_size = 1024
More information needed
More information needed
The following hyperparameters were used during training: