Instructions to use Pendrokar/TorchMoji with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Pendrokar/TorchMoji with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Pendrokar/TorchMoji")# Load model directly from transformers import AutoTokenizer, BertForMultilabelSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Pendrokar/TorchMoji") model = BertForMultilabelSequenceClassification.from_pretrained("Pendrokar/TorchMoji", device_map="auto") - Notebooks
- Google Colab
- Kaggle
vocab size fix
Browse files- config.json +1 -1
config.json
CHANGED
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@@ -164,5 +164,5 @@
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| 164 |
"transformers_version": "4.12.5",
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"type_vocab_size": 2,
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| 166 |
"use_cache": true,
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-
"vocab_size":
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| 168 |
}
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| 164 |
"transformers_version": "4.12.5",
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| 165 |
"type_vocab_size": 2,
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| 166 |
"use_cache": true,
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+
"vocab_size": 50000
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| 168 |
}
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