Instructions to use ybelkada/opt-125m-debug with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ybelkada/opt-125m-debug with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ybelkada/opt-125m-debug")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("ybelkada/opt-125m-debug") model = AutoModel.from_pretrained("ybelkada/opt-125m-debug") - Notebooks
- Google Colab
- Kaggle
Younes Belkada commited on
Commit ·
ef91513
1
Parent(s): 0e17657
v1 - model
Browse files- pytorch_model.bin +3 -0
pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:20fc72fce52340e65274235c0144ff931c3c0267110549ab36b56bb383ade081
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size 501017593
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