Instructions to use vgaraujov/t5-base-spanish with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vgaraujov/t5-base-spanish with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("vgaraujov/t5-base-spanish") model = AutoModelForSeq2SeqLM.from_pretrained("vgaraujov/t5-base-spanish", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 443ffa008e419e7add00223f17aac37a1752eb37985e2503a158026818a11543
- Size of remote file:
- 990 MB
- SHA256:
- 424a1fa101f6ba7639a34756a8910dd1976f826835be631dd6e1a95ca8189105
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