Instructions to use Vlasta/DNADebertaSentencepiece30k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Vlasta/DNADebertaSentencepiece30k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Vlasta/DNADebertaSentencepiece30k")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Vlasta/DNADebertaSentencepiece30k") model = AutoModelForMaskedLM.from_pretrained("Vlasta/DNADebertaSentencepiece30k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 175000
Browse files- config.json +1 -1
- pytorch_model.bin +2 -2
- training_args.bin +1 -1
config.json
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"torch_dtype": "float32",
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"transformers_version": "4.19.2",
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"type_vocab_size": 0,
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"torch_dtype": "float32",
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"transformers_version": "4.19.2",
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"vocab_size": 10000
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pytorch_model.bin
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training_args.bin
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size 3247
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