Instructions to use Tejas21/Totto_t5_base_pt_bleu_10k_steps with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tejas21/Totto_t5_base_pt_bleu_10k_steps with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Tejas21/Totto_t5_base_pt_bleu_10k_steps") model = AutoModelForSeq2SeqLM.from_pretrained("Tejas21/Totto_t5_base_pt_bleu_10k_steps", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 013114004c2e83dedc721146af4d41d33cbcc1db12f74f0d07ef1e9ff2f42e37
- Size of remote file:
- 892 MB
- SHA256:
- cb46544906654efca104c4ea060e6b85cf04e742c14759d9b38854d7fea6ede1
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