Instructions to use Yale-CompBio/ablang2-hf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Yale-CompBio/ablang2-hf with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Yale-CompBio/ablang2-hf")# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("Yale-CompBio/ablang2-hf", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload tokenizer
Browse files- tokenizer_config.json +1 -0
tokenizer_config.json
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@@ -56,6 +56,7 @@
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": "-",
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"sep_token": "|",
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"tokenizer_class": "AbLang2Tokenizer",
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"unk_token": "X"
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}
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": "-",
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"sep_token": "|",
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"swap_paired_chains": false,
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"tokenizer_class": "AbLang2Tokenizer",
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"unk_token": "X"
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}
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