Instructions to use KETI-NLP/clip-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KETI-NLP/clip-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="KETI-NLP/clip-roberta-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("KETI-NLP/clip-roberta-base") model = AutoModel.from_pretrained("KETI-NLP/clip-roberta-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload model
346c5a1 -
Upload processor
31d6a17 -
Upload tokenizer
f487812 -
Upload processor
2945329 -
Upload tokenizer
06e10bf -
initial commit
cc7e239