Instructions to use artiert/res with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use artiert/res with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="artiert/res")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("artiert/res") model = AutoModelForQuestionAnswering.from_pretrained("artiert/res", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0682125ac61195c021e7c2149799898679990d8e7b6525f2ae7d25a81ecd376b
- Size of remote file:
- 4.54 kB
- SHA256:
- e3057bd8842c0cb5a083d557da4678f57eb44b97192a164dc72b44ba61caffdb
路
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