Instructions to use mateiaassAI/T5Base1000PreTrained with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mateiaassAI/T5Base1000PreTrained with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mateiaassAI/T5Base1000PreTrained") model = AutoModelForSeq2SeqLM.from_pretrained("mateiaassAI/T5Base1000PreTrained") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fb1e9ac0667f74d193185cd3acf4c14356456f971bed56bbb6d828028c4d2a2d
- Size of remote file:
- 1.19 GB
- SHA256:
- 875a290b41b1372071a64eaa62054aac9067ffefeca0332ddbeb5e0674511986
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