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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7319b07120aea22ffb3bc48215d35d66687cdba1cf508c5209a605164f19c785
- Size of remote file:
- 501 MB
- SHA256:
- 20fc72fce52340e65274235c0144ff931c3c0267110549ab36b56bb383ade081
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