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:
- 0d7ddd0f98c6f24009c4290c3484da5dbacf06aaafd45c93f96d051f7927eb96
- Size of remote file:
- 2.54 kB
- SHA256:
- 2e70da3b7c68feef028245fbafb041e0ca9bed25cfd8684d1b67ddfc1a5b32eb
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