Instructions to use Cheng98/opt-125m-mnli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Cheng98/opt-125m-mnli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Cheng98/opt-125m-mnli")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Cheng98/opt-125m-mnli") model = AutoModelForSequenceClassification.from_pretrained("Cheng98/opt-125m-mnli", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b615672c8357399dd2cfaf444d6333858f8dfc1aecea2bba19dfdf0fe94dddc9
- Size of remote file:
- 4.09 kB
- SHA256:
- 7d5048165aca9de990704809c4d432b9df155bd8d8faadfb09dea105ce7ce8b5
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