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", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Upload config
Browse files- config.json +0 -1
config.json
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{
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"_name_or_path": "weights/ablang2-hf",
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"architectures": [
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"AbLang2ForMaskedLM"
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],
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{
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"architectures": [
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"AbLang2ForMaskedLM"
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],
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