Instructions to use Yoga26/t5_simplified_100 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Yoga26/t5_simplified_100 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Yoga26/t5_simplified_100") model = AutoModelForSeq2SeqLM.from_pretrained("Yoga26/t5_simplified_100") - Notebooks
- Google Colab
- Kaggle
| { | |
| "decoder_start_token_id": 0, | |
| "do_sample": false, | |
| "early_stopping": true, | |
| "eos_token_id": 1, | |
| "length_penalty": 1.0, | |
| "max_new_tokens": 64, | |
| "no_repeat_ngram_size": 2, | |
| "num_beams": 4, | |
| "num_return_sequences": 1, | |
| "pad_token_id": 0, | |
| "repetition_penalty": 1.2, | |
| "transformers_version": "5.0.0" | |
| } | |