Instructions to use nlplabtdtu/T5-checkpoint-3-vi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nlplabtdtu/T5-checkpoint-3-vi with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("nlplabtdtu/T5-checkpoint-3-vi") model = AutoModelForSeq2SeqLM.from_pretrained("nlplabtdtu/T5-checkpoint-3-vi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bcc7266000a216ed36204cea12714c2a8b4f8ed11b509242bb9229f14e68e9cc
- Size of remote file:
- 3.17 GB
- SHA256:
- 084502c8abc12ff224c97d8944cc19bb38fec54931f28ce6f57f4e45ef040b01
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