Instructions to use HoangHa/init-deberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HoangHa/init-deberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="HoangHa/init-deberta")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("HoangHa/init-deberta") model = AutoModel.from_pretrained("HoangHa/init-deberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update config.json
Browse files- config.json +1 -1
config.json
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"torch_dtype": "bfloat16",
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"transformers_version": "4.41.1",
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"type_vocab_size": 0,
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"vocab_size":
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}
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"torch_dtype": "bfloat16",
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"transformers_version": "4.41.1",
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"type_vocab_size": 0,
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"vocab_size": 4096
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}
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