Instructions to use hf-internal-testing/tiny-random-LEDForConditionalGeneration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-LEDForConditionalGeneration with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-LEDForConditionalGeneration") model = AutoModelForSeq2SeqLM.from_pretrained("hf-internal-testing/tiny-random-LEDForConditionalGeneration") - Notebooks
- Google Colab
- Kaggle
File size: 132 Bytes
18f5508 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:a0ae9b1db57609912433f420d25d837e3794c577ff0ed6c3b83fad928cecd027
size 1232120
|