Instructions to use allenai/PRIMERA-multixscience with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use allenai/PRIMERA-multixscience with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("allenai/PRIMERA-multixscience") model = AutoModelForSeq2SeqLM.from_pretrained("allenai/PRIMERA-multixscience") - Notebooks
- Google Colab
- Kaggle
Add default num_beams size to config
#2
by johngiorgi - opened
- config.json +1 -0
config.json
CHANGED
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@@ -73,6 +73,7 @@
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| 73 |
"model_type": "led",
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"normalize_before": false,
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"normalize_embedding": true,
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"num_hidden_layers": 12,
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| 77 |
"output_past": false,
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| 78 |
"pad_token_id": 1,
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| 73 |
"model_type": "led",
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"normalize_before": false,
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"normalize_embedding": true,
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| 76 |
+
"num_beams": 5,
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"num_hidden_layers": 12,
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| 78 |
"output_past": false,
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| 79 |
"pad_token_id": 1,
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