Instructions to use hf-internal-testing/tiny-random-T5ForConditionalGeneration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-T5ForConditionalGeneration with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-T5ForConditionalGeneration") model = AutoModelForSeq2SeqLM.from_pretrained("hf-internal-testing/tiny-random-T5ForConditionalGeneration", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from hf-internal-testing/tiny-random-T5ForConditionalGeneration: direct link, hf CLI and curl.
- Browser
- Download file 4.49 MB
-
https://huggingface.co/hf-internal-testing/tiny-random-T5ForConditionalGeneration/resolve/f85c0a81e5bd502854baebddd37919c90fcd3ce8/pytorch_model.bin
- Command line
-
hf download hf://hf-internal-testing/tiny-random-T5ForConditionalGeneration@f85c0a81e5bd502854baebddd37919c90fcd3ce8/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/hf-internal-testing/tiny-random-T5ForConditionalGeneration/resolve/f85c0a81e5bd502854baebddd37919c90fcd3ce8/pytorch_model.bin
4.49 MB
- Xet hash:
- 3aeb72908c728e902d8ed3cb920065c060db6d238f5cd688612226b72176eec9
- Size of remote file:
- 4.49 MB
- SHA256:
- 3ef2bdc2ed138313950c7edaaeaba2566d395280d58556f66fd78bd8311a05e3
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