Instructions to use suhcrates/yb_model_dir with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use suhcrates/yb_model_dir with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="suhcrates/yb_model_dir")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("suhcrates/yb_model_dir") model = AutoModelForQuestionAnswering.from_pretrained("suhcrates/yb_model_dir") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1f6143e27b2f71a87edae5ad2f2ac0eb16be2364aa9d3010fc3cd7874cd4ea08
- Size of remote file:
- 265 MB
- SHA256:
- a1dae878ab1b66331ffa3534596d0028948a419619f747bfa7719dba5025dd00
路
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