Instructions to use msakthiganesh/TabQGen-Large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use msakthiganesh/TabQGen-Large with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("msakthiganesh/TabQGen-Large") model = AutoModelForSeq2SeqLM.from_pretrained("msakthiganesh/TabQGen-Large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 728048678a28657dfca2b24cfc4425f3bba379f0b6590b0be143f205fc039572
- Size of remote file:
- 2.95 GB
- SHA256:
- 6f02c667b582c06ce43b22b39144abc94f98aaf80e01e099ea35402dee7f52ec
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