Instructions to use peerawatchomp/t5-base-grammar-mcq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use peerawatchomp/t5-base-grammar-mcq with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("peerawatchomp/t5-base-grammar-mcq") model = AutoModelForSeq2SeqLM.from_pretrained("peerawatchomp/t5-base-grammar-mcq", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4691835711f6d0bf4b8a87b4f4eb5c187dbbb558e6c9cc8b4f9326eafeac43b9
- Size of remote file:
- 892 MB
- SHA256:
- 6549935d732edf4864ddf464c104f4a3a85ba841540b1139946fb6ff60387cda
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