Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use andyfriedrich-amd/hipify_plus_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use andyfriedrich-amd/hipify_plus_model with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("andyfriedrich-amd/hipify_plus_model") model = AutoModelForSeq2SeqLM.from_pretrained("andyfriedrich-amd/hipify_plus_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 475f013b0bbf797ef4fcbaaf64b28caf15a8749642877c2ed3e019086e378945
- Size of remote file:
- 4.42 kB
- SHA256:
- a61077650ffe495bfd707dbbac5a4f9f2821a5de2d0846706df5658947f6747e
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