Instructions to use loris3/stratified_10m_curriculum_roberta_perplexity_increasing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use loris3/stratified_10m_curriculum_roberta_perplexity_increasing with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="loris3/stratified_10m_curriculum_roberta_perplexity_increasing")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("loris3/stratified_10m_curriculum_roberta_perplexity_increasing") model = AutoModelForMaskedLM.from_pretrained("loris3/stratified_10m_curriculum_roberta_perplexity_increasing") - Notebooks
- Google Colab
- Kaggle
Ctrl+K