Instructions to use Ayon128/fine_tuned_t5_tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ayon128/fine_tuned_t5_tokenizer with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Ayon128/fine_tuned_t5_tokenizer") model = AutoModelForSeq2SeqLM.from_pretrained("Ayon128/fine_tuned_t5_tokenizer") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 06726b5403256e3f8fc3a138f8605d37a1cc45bca07ff01bf4448087dd630ba4
- Size of remote file:
- 990 MB
- SHA256:
- 307945443c10fe94831832099288128d943a0e75b99f0ae205cc498885d86568
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