Instructions to use JuliCSD/BERT-Finetuned-AACText-50epochs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JuliCSD/BERT-Finetuned-AACText-50epochs with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="JuliCSD/BERT-Finetuned-AACText-50epochs")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("JuliCSD/BERT-Finetuned-AACText-50epochs") model = AutoModelForMaskedLM.from_pretrained("JuliCSD/BERT-Finetuned-AACText-50epochs", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 49f86a6c980876f26849d891d44c7ec52ca3cde6045d586e2b0dede0680c2370
- Size of remote file:
- 4.73 kB
- SHA256:
- 8a85954bf3516881e67c5dbbace0194d0e610e9320908fbd783671b6c500ee47
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