Instructions to use Cheng98/opt-125m-boolq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Cheng98/opt-125m-boolq with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Cheng98/opt-125m-boolq")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Cheng98/opt-125m-boolq") model = AutoModelForSequenceClassification.from_pretrained("Cheng98/opt-125m-boolq") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4a0e436ad7c68354f88bd71fb643a980799511d44d1e5c977c273ce17214619a
- Size of remote file:
- 3.96 kB
- SHA256:
- eb2a3944a92defcf466ae4bd4a269b67a3b743465a077db50a7ff77aa2c8e1b8
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