Text Classification
Transformers
PyTorch
TensorBoard
English
mobilebert
Generated from Trainer
Eval Results (legacy)
Instructions to use Alireza1044/mobilebert_cola with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Alireza1044/mobilebert_cola with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Alireza1044/mobilebert_cola")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Alireza1044/mobilebert_cola") model = AutoModelForSequenceClassification.from_pretrained("Alireza1044/mobilebert_cola", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c85c5ef2866e8a0711f3efee6723a0ebc2a3de3b98af5266324dae801c3e40c5
- Size of remote file:
- 3.25 kB
- SHA256:
- 1d1c7373d1d273a8e1cb494adf573bb78c9917d875b0b9ba164554a44b3f42cd
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.