Instructions to use ignaciovillanueva/umt5-base-finetuned-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ignaciovillanueva/umt5-base-finetuned-model with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ignaciovillanueva/umt5-base-finetuned-model") model = AutoModelForSeq2SeqLM.from_pretrained("ignaciovillanueva/umt5-base-finetuned-model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 343be649f2350cf010b8b5c81b4a927a5b1868c301412b2d65ebac5fa47e5f17
- Size of remote file:
- 5.24 kB
- SHA256:
- 745e0c526a38f7bc7469c1fdca1b2ac8022cbc9bcb7089db0c1d925766e56fb0
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