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, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("ybelkada/tiny-random-T5ForConditionalGeneration-calibrated") model = AutoModelForMultimodalLM.from_pretrained("ybelkada/tiny-random-T5ForConditionalGeneration-calibrated") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f591cf83993792a67ecccaf5eab2c2bc4ca8a53f03e8f51405a496034e440d15
- Size of remote file:
- 4.49 MB
- SHA256:
- 56cfdbff6498ef34048f3fe73cfa7ff1d632ba75ce8209bc6b60a27b112c2e5d
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