Instructions to use hf-tiny-model-private/tiny-random-T5ForConditionalGeneration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-T5ForConditionalGeneration with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-T5ForConditionalGeneration") model = AutoModelForSeq2SeqLM.from_pretrained("hf-tiny-model-private/tiny-random-T5ForConditionalGeneration", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from hf-tiny-model-private/tiny-random-T5ForConditionalGeneration: direct link, hf CLI and curl.
- Browser
- Download file 4.49 MB
-
https://huggingface.co/hf-tiny-model-private/tiny-random-T5ForConditionalGeneration/resolve/a26b69d6caa0ca9f613cd9a94e683becdb2c7d8e/pytorch_model.bin
- Command line
-
hf download hf://hf-tiny-model-private/tiny-random-T5ForConditionalGeneration@a26b69d6caa0ca9f613cd9a94e683becdb2c7d8e/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/hf-tiny-model-private/tiny-random-T5ForConditionalGeneration/resolve/a26b69d6caa0ca9f613cd9a94e683becdb2c7d8e/pytorch_model.bin
4.49 MB
- Xet hash:
- 8394e325eebc09cb9990dea4165bff4dd13761ffc7b22d4ca74200597c94fd20
- Size of remote file:
- 4.49 MB
- SHA256:
- 6328ce9c04b56c23615f68da489c1f1e4475c73e110beb191bda5ccd2481fa2a
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