Instructions to use trhgquan/visobert-finetune-freezed-1337 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use trhgquan/visobert-finetune-freezed-1337 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="trhgquan/visobert-finetune-freezed-1337")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("trhgquan/visobert-finetune-freezed-1337") model = AutoModelForSequenceClassification.from_pretrained("trhgquan/visobert-finetune-freezed-1337") - Notebooks
- Google Colab
- Kaggle
metadata
license: gpl-3.0
language:
- vi
metrics:
- accuracy
- f1
base_model:
- uitnlp/visobert
pipeline_tag: text-classification
library_name: transformers