Instructions to use HBDX/Seq-TransfoRNA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HBDX/Seq-TransfoRNA with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("HBDX/Seq-TransfoRNA", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Upload tokenizer
Browse files- tokenizer_config.json +0 -1
tokenizer_config.json
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@@ -12,6 +12,5 @@
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"clean_up_tokenization_spaces": true,
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"model_max_length": 30,
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"pad_token": "pad",
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"return_tensors": "pt",
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"tokenizer_class": "RnaTokenizer"
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}
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"clean_up_tokenization_spaces": true,
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"model_max_length": 30,
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"pad_token": "pad",
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"tokenizer_class": "RnaTokenizer"
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}
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