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
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:dfadf27f1a3d5ee61278d258120fb64436b1e43b3877e31fba9e0799ca82c3c1
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size 265470032
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