Instructions to use mjpsm/checkin-summarizer-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mjpsm/checkin-summarizer-v2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mjpsm/checkin-summarizer-v2") model = AutoModelForSeq2SeqLM.from_pretrained("mjpsm/checkin-summarizer-v2") - Notebooks
- Google Colab
- Kaggle
| { | |
| "backend": "tokenizers", | |
| "eos_token": "</s>", | |
| "extra_ids": 100, | |
| "extra_special_tokens": {}, | |
| "is_local": false, | |
| "model_max_length": 512, | |
| "pad_token": "<pad>", | |
| "sp_model_kwargs": {}, | |
| "tokenizer_class": "T5Tokenizer", | |
| "unk_token": "<unk>" | |
| } |