Instructions to use bumblebee-testing/tiny-random-T5ForConditionalGeneration-tie_word_embeddings-False with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bumblebee-testing/tiny-random-T5ForConditionalGeneration-tie_word_embeddings-False with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("bumblebee-testing/tiny-random-T5ForConditionalGeneration-tie_word_embeddings-False") model = AutoModelForSeq2SeqLM.from_pretrained("bumblebee-testing/tiny-random-T5ForConditionalGeneration-tie_word_embeddings-False") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 511518886c16b2c5f1b13b89be30e6eb23da53c29a66d6be7bdc586de4eb6eb7
- Size of remote file:
- 8.57 MB
- SHA256:
- 2c87605fe82797b737b7a8b7009293207254e3e41602314b1836090cddeaf415
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