Text Classification
Transformers
PyTorch
Safetensors
English
bert
cola
glue
kd
torchdistill
text-embeddings-inference
Instructions to use yoshitomo-matsubara/bert-base-uncased-cola_from_bert-large-uncased-cola with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yoshitomo-matsubara/bert-base-uncased-cola_from_bert-large-uncased-cola with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="yoshitomo-matsubara/bert-base-uncased-cola_from_bert-large-uncased-cola")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("yoshitomo-matsubara/bert-base-uncased-cola_from_bert-large-uncased-cola") model = AutoModelForSequenceClassification.from_pretrained("yoshitomo-matsubara/bert-base-uncased-cola_from_bert-large-uncased-cola", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from yoshitomo-matsubara/bert-base-uncased-cola_from_bert-large-uncased-cola: direct link, hf CLI and curl.
- Browser
- Download file 841 Bytes
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https://huggingface.co/yoshitomo-matsubara/bert-base-uncased-cola_from_bert-large-uncased-cola/resolve/daa9fda4e73eef54bb9b21fa630a7cdc844c382b/README.md
- Command line
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hf download hf://yoshitomo-matsubara/bert-base-uncased-cola_from_bert-large-uncased-cola@daa9fda4e73eef54bb9b21fa630a7cdc844c382b/README.md
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curl -L -o README.md https://huggingface.co/yoshitomo-matsubara/bert-base-uncased-cola_from_bert-large-uncased-cola/resolve/daa9fda4e73eef54bb9b21fa630a7cdc844c382b/README.md
841 Bytes
metadata
language: en
tags:
- bert
- cola
- glue
- kd
- torchdistill
license: apache-2.0
datasets:
- cola
metrics:
- matthew's correlation
bert-base-uncased fine-tuned on CoLA dataset, using fine-tuned bert-large-uncased as a teacher model, torchdistill and Google Colab for knowledge distillation.
The training configuration (including hyperparameters) is available here.
I submitted prediction files to the GLUE leaderboard, and the overall GLUE score was 78.9.