Instructions to use akshitapps/hiro_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use akshitapps/hiro_model with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("akshitapps/hiro_model") model = AutoModelForSeq2SeqLM.from_pretrained("akshitapps/hiro_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 772fc21d4a0afcddf0ae30a6ee7753855e807b58cf45aa12087e364c2fd6b63b
- Size of remote file:
- 2.33 GB
- SHA256:
- 4e79d0b66b33a08ea1e18f574821c28524b2733f8644b8464629806e66fa917b
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