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
File size: 274 Bytes
2e90e7f | 1 2 3 4 5 6 | {
"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"
}
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