Transformers
TensorFlow
TensorBoard
Thai
mt5
text2text-generation
thai
grammatical-error-correction
fine-tuned
l2-learners
generated_from_keras_callback
Eval Results (legacy)
Instructions to use pakawadeep/ctfl-gec-th with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pakawadeep/ctfl-gec-th with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("pakawadeep/ctfl-gec-th") model = AutoModelForSeq2SeqLM.from_pretrained("pakawadeep/ctfl-gec-th") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8644a7f82c5c12e2695ddae88589717f12b16b9a645d105103086f6c30df9a80
- Size of remote file:
- 6.97 GB
- SHA256:
- cf752aa7be3d868b2cdb81d4c372dafe8edb03c533458a0f3440210529a6acbf
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