Instructions to use ybelkada/tiny-random-T5ForConditionalGeneration-calibrated with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ybelkada/tiny-random-T5ForConditionalGeneration-calibrated with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ybelkada/tiny-random-T5ForConditionalGeneration-calibrated") model = AutoModelForSeq2SeqLM.from_pretrained("ybelkada/tiny-random-T5ForConditionalGeneration-calibrated", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 56 Bytes
9b28ae7 | 1 | A "better calibrated" tiny T5 model for testing purposes |