Instructions to use cardiffnlp/pcl_robertabase with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cardiffnlp/pcl_robertabase with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cardiffnlp/pcl_robertabase")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cardiffnlp/pcl_robertabase") model = AutoModelForSequenceClassification.from_pretrained("cardiffnlp/pcl_robertabase", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a773cc07fea13f6089a5f2cc7eceebd5e72041f349404c8625a6f75cba2982f3
- Size of remote file:
- 499 MB
- SHA256:
- 7fa2a43213e8145ddf3ee737be6511af1cdbf77c8306abbe5094d4a449bdf9e0
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