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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 99e1f25c028624e2f041f9928617ae0d95173b2e152027550b381b775ebed767
- Size of remote file:
- 1.46 MB
- SHA256:
- e8b0c94f9d6e9e75161a1365e73132f35666ab675de0d5ae10ec9f6f5eacda09
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