Instructions to use facebook/bart-large-mnli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/bart-large-mnli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="facebook/bart-large-mnli")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("facebook/bart-large-mnli") model = AutoModelForSequenceClassification.from_pretrained("facebook/bart-large-mnli", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download coreml/text2text-generation/decoder_float32_model.mlpackage/Manifest.json from facebook/bart-large-mnli: direct link, hf CLI and curl.
- Browser
- Download file 617 Bytes
-
https://huggingface.co/facebook/bart-large-mnli/resolve/refs%2Fpr%2F21/coreml/text2text-generation/decoder_float32_model.mlpackage/Manifest.json
- Command line
-
hf download hf://facebook/bart-large-mnli@refs/pr/21/coreml/text2text-generation/decoder_float32_model.mlpackage/Manifest.json
-
curl -L -o Manifest.json https://huggingface.co/facebook/bart-large-mnli/resolve/refs%2Fpr%2F21/coreml/text2text-generation/decoder_float32_model.mlpackage/Manifest.json
617 Bytes
| { | |
| "fileFormatVersion": "1.0.0", | |
| "itemInfoEntries": { | |
| "5A093E7D-B0A5-4429-AA78-506BC374E9B4": { | |
| "author": "com.apple.CoreML", | |
| "description": "CoreML Model Specification", | |
| "name": "model.mlmodel", | |
| "path": "com.apple.CoreML/model.mlmodel" | |
| }, | |
| "A8299508-1BB2-4BD1-AC7B-BAD1026A6FA4": { | |
| "author": "com.apple.CoreML", | |
| "description": "CoreML Model Weights", | |
| "name": "weights", | |
| "path": "com.apple.CoreML/weights" | |
| } | |
| }, | |
| "rootModelIdentifier": "5A093E7D-B0A5-4429-AA78-506BC374E9B4" | |
| } | |