Instructions to use nanom/bert_adaptation_vizwiz with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nanom/bert_adaptation_vizwiz with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="nanom/bert_adaptation_vizwiz")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("nanom/bert_adaptation_vizwiz") model = AutoModelForMaskedLM.from_pretrained("nanom/bert_adaptation_vizwiz", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fccd3804decc8e21a850eccf619916cb28f8210d3834105cc0f0ce1595d8830d
- Size of remote file:
- 4.03 kB
- SHA256:
- e755bcc11b260d7ac0f7bc0d0714a2cd54e82e4f2f7b309eef24bfc9ed4f9bc9
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