Instructions to use facebook/bart-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/bart-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="facebook/bart-large")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("facebook/bart-large") model = AutoModel.from_pretrained("facebook/bart-large") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit ·
030bb1b
1
Parent(s): 9e16983
Update config.json
Browse files- config.json +1 -0
config.json
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@@ -24,6 +24,7 @@
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"encoder_layers": 12,
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"eos_token_id": 2,
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"forced_eos_token_id": 2,
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"gradient_checkpointing": false,
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"id2label": {
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"0": "LABEL_0",
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"encoder_layers": 12,
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"eos_token_id": 2,
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"forced_eos_token_id": 2,
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"forced_bos_token_id": 0,
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"gradient_checkpointing": false,
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"id2label": {
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"0": "LABEL_0",
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