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:
- b074a078fb7098fd6780996ee86228bd0ac287dd2f54677b742ce74b3a2a68ae
- Size of remote file:
- 3.96 kB
- SHA256:
- 3ee4a7885bf2aed5f9b5df12a91a118674a3b96b73c15131357d5511a0f6dfc4
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