Instructions to use Saddammm/T5Model100 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Saddammm/T5Model100 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Saddammm/T5Model100") model = AutoModelForSeq2SeqLM.from_pretrained("Saddammm/T5Model100", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Upload trainer_state.json
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Upload tokenizer_config.json
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Upload spiece.model
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Upload special_tokens_map.json
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Upload scheduler.pt
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Upload rng_state.pth
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Upload pytorch_model.bin
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Upload optimizer.pt
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Upload generation_config.json
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Upload config.json
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initial commit
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