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bert
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sentence-classification
scancode
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Instructions to use ayansinha/lic-class-scancode-bert-base-cased-L32-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ayansinha/lic-class-scancode-bert-base-cased-L32-1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ayansinha/lic-class-scancode-bert-base-cased-L32-1")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ayansinha/lic-class-scancode-bert-base-cased-L32-1") model = AutoModelForMaskedLM.from_pretrained("ayansinha/lic-class-scancode-bert-base-cased-L32-1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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