Text Classification
Transformers
PyTorch
TensorBoard
xlnet
Generated from Trainer
Eval Results (legacy)
Instructions to use vish88/xlnet-base-rte-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vish88/xlnet-base-rte-finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="vish88/xlnet-base-rte-finetuned")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("vish88/xlnet-base-rte-finetuned") model = AutoModelForSequenceClassification.from_pretrained("vish88/xlnet-base-rte-finetuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#3 opened over 1 year ago
by
SFconvertbot
Librarian Bot: Add base_model information to model
#2 opened about 3 years ago
by
librarian-bot
Align label mapping with rte config of glue dataset
#1 opened about 4 years ago
by
lewtun