Instructions to use Ranjan22/TextToTagGeneratorSample with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ranjan22/TextToTagGeneratorSample with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Ranjan22/TextToTagGeneratorSample") model = AutoModelForSeq2SeqLM.from_pretrained("Ranjan22/TextToTagGeneratorSample") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8c9fb71710550e1475b0531714a04d65e567336d15ef178dacda91df8534b355
- Size of remote file:
- 242 MB
- SHA256:
- 262fe168c7c04668025da46d4ea0878b96e08a53f3c4c2de3c2b6acb58619283
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.