Instructions to use HARSHU550/Formal_Informal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HARSHU550/Formal_Informal with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("HARSHU550/Formal_Informal") model = AutoModelForSeq2SeqLM.from_pretrained("HARSHU550/Formal_Informal") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3074284b9df8733b10bd39ccc90dca38605aa314e4fcc27956aa8d32eb254784
- Size of remote file:
- 892 MB
- SHA256:
- 61956ed66f3d0bf513cab63c78690f4261998cf780d0781f723fdf6ea1380229
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