Instructions to use yuniv/sample1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yuniv/sample1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("yuniv/sample1") model = AutoModelForSeq2SeqLM.from_pretrained("yuniv/sample1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "model_max_length": 1000000000000000019884624838656, | |
| "special_tokens_map_file": "/root/.cache/huggingface/hub/models--gogamza--kobart-base-v2/snapshots/f9f2ec35d3c32a1ecc7a3281f9626b7ec1913fed/special_tokens_map.json", | |
| "tokenizer_class": "PreTrainedTokenizerFast" | |
| } | |