❄💢ViSoBERT - transfer learning - syllable
Collection
ViSoBERT model, transfer-learning-trained on ViHSD dataset in syllable-level. Numbers denote different training seeds. • 5 items • Updated
How to use trhgquan/visobert-finetune-freezed-6969 with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-classification", model="trhgquan/visobert-finetune-freezed-6969") # Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("trhgquan/visobert-finetune-freezed-6969")
model = AutoModelForSequenceClassification.from_pretrained("trhgquan/visobert-finetune-freezed-6969")# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("trhgquan/visobert-finetune-freezed-6969")
model = AutoModelForSequenceClassification.from_pretrained("trhgquan/visobert-finetune-freezed-6969")Base model
uitnlp/visobert
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="trhgquan/visobert-finetune-freezed-6969")