Instructions to use textattack/roberta-base-CoLA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use textattack/roberta-base-CoLA with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="textattack/roberta-base-CoLA")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("textattack/roberta-base-CoLA") model = AutoModelForSequenceClassification.from_pretrained("textattack/roberta-base-CoLA", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
ae8a992 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:2db6295a7c84babd64dadb2409871a20a8e58e0590f762b07ba2531d8b12f433
size 500975384
|