Instructions to use virtual-human-chc/prot_xlnet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use virtual-human-chc/prot_xlnet with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="virtual-human-chc/prot_xlnet")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("virtual-human-chc/prot_xlnet") model = AutoModel.from_pretrained("virtual-human-chc/prot_xlnet") - Notebooks
- Google Colab
- Kaggle
Update config.json
Browse files- config.json +1 -1
config.json
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@@ -61,5 +61,5 @@
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"torchscript": false,
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"untie_r": true,
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"use_bfloat16": false,
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"vocab_size":
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}
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"torchscript": false,
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"untie_r": true,
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"use_bfloat16": false,
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"vocab_size": 37
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}
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