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:
- e39ec96cd5feb86f0a589e01bdf822a12503030bdddf9e427e21ec88b5a35e6b
- Size of remote file:
- 242 MB
- SHA256:
- a0d39d9592732815f7b4324555847e63dd9a97df1d8a89dc60b700eac2df30a7
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