Instructions to use hf-internal-testing/tiny-random-FSMTForConditionalGeneration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-FSMTForConditionalGeneration with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-FSMTForConditionalGeneration") model = AutoModelForSeq2SeqLM.from_pretrained("hf-internal-testing/tiny-random-FSMTForConditionalGeneration") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e15a4cf9bbad06795793c4333807047f74dc4543c3904ecf16f2e9c349a9fd55
- Size of remote file:
- 4.06 MB
- SHA256:
- 230f3666d5bf18d71b6a23370a4ee55991141c9b1fe57756b3b35fd44772fab7
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