Instructions to use loris3/stratified_10m_curriculum_roberta_random with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use loris3/stratified_10m_curriculum_roberta_random with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="loris3/stratified_10m_curriculum_roberta_random")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("loris3/stratified_10m_curriculum_roberta_random") model = AutoModelForMaskedLM.from_pretrained("loris3/stratified_10m_curriculum_roberta_random") - Notebooks
- Google Colab
- Kaggle
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