Instructions to use lmaccarini/flan-t5-small-gec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lmaccarini/flan-t5-small-gec with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("lmaccarini/flan-t5-small-gec") model = AutoModelForSeq2SeqLM.from_pretrained("lmaccarini/flan-t5-small-gec", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 192f73869f03cf607ec637926bbf3a6b649fc06c848fb24ba242197b3174e22b
- Size of remote file:
- 5.91 kB
- SHA256:
- 2107b3c368bcb83586c20c47a61e94b98f0a5ebd564910f028099d52d530f143
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