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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5498d0cef92adb916d626f3f985103215f2f090ad993e77402d5f923e5bb6763
- Size of remote file:
- 4.08 MB
- SHA256:
- eabc700ae628b0c1f66e6bd37a7108efa3ea0e437a972ec095287428ef99a647
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