Instructions to use NasimB/bert-dp-second with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NasimB/bert-dp-second with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="NasimB/bert-dp-second")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("NasimB/bert-dp-second") model = AutoModelForMaskedLM.from_pretrained("NasimB/bert-dp-second", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 90 Bytes
0cf9fab | 1 2 3 4 5 6 | {
"_from_model_config": true,
"pad_token_id": 0,
"transformers_version": "4.26.1"
}
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