Instructions to use Henry65/unixcoder-advtest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Henry65/unixcoder-advtest with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Henry65/unixcoder-advtest")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Henry65/unixcoder-advtest") model = AutoModel.from_pretrained("Henry65/unixcoder-advtest") - Notebooks
- Google Colab
- Kaggle
Update tokenizer_config.json
Browse files- tokenizer_config.json +1 -0
tokenizer_config.json
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@@ -35,6 +35,7 @@
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"single_word": false
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},
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": {
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"__type": "AddedToken",
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"content": "<pad>",
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"single_word": false
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},
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"model_max_length": 1000000000000000019884624838656,
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"name_or_path": "microsoft/unixcoder-base",
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"pad_token": {
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"__type": "AddedToken",
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"content": "<pad>",
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