Instructions to use mateiaassAI/T5BaseRoNECC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mateiaassAI/T5BaseRoNECC with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mateiaassAI/T5BaseRoNECC") model = AutoModelForSeq2SeqLM.from_pretrained("mateiaassAI/T5BaseRoNECC", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 481ba266ce06a2e53f20577488e587a50b8e7dd3fce078789e7b5ceb22b65096
- Size of remote file:
- 2.37 GB
- SHA256:
- e7e69722b6723c2ab3f63b022dc6fc867a8bbc27de1768a68e23298de008041c
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