Instructions to use msakthiganesh/TabQGen-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use msakthiganesh/TabQGen-Base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("msakthiganesh/TabQGen-Base") model = AutoModelForSeq2SeqLM.from_pretrained("msakthiganesh/TabQGen-Base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1b9e04150350023f7f98cdf94d7d789a4717458d2e85863a94d0f740bf2cf95d
- Size of remote file:
- 892 MB
- SHA256:
- 1492ca2a7ea139ed83fa679cc47c4aa09f05537985c3a19f6ae19f414337c6c2
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