Instructions to use Ranjan22/TextToTagGenerator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ranjan22/TextToTagGenerator with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Ranjan22/TextToTagGenerator") model = AutoModelForSeq2SeqLM.from_pretrained("Ranjan22/TextToTagGenerator") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 100
Browse files- config.json +1 -1
- pytorch_model.bin +1 -1
config.json
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"_name_or_path": "
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"architectures": [
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"T5ForConditionalGeneration"
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"_name_or_path": "Ranjan22/TextToTagGenerator",
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"architectures": [
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pytorch_model.bin
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oid sha256:c8312ebbe0f04533973454b1ec0cd095f5e4af1dc48cc86968ee50304cb29be7
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size 242069785
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