Instructions to use mjwong/e5-large-mnli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mjwong/e5-large-mnli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="mjwong/e5-large-mnli")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mjwong/e5-large-mnli") model = AutoModelForSequenceClassification.from_pretrained("mjwong/e5-large-mnli") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7ecb519bd3d5cd2d50a43618c5125398d8e6c866648d394928344e172a81c553
- Size of remote file:
- 3.57 kB
- SHA256:
- 0b9b013e892a81aef8ae564daa993368f49c1d219e09ce768cb4a4eea82841b0
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