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:
- ba5f3336f78d78988d1d60b82ffe690d4d274e9d8004353928f9c64379e9883d
- Size of remote file:
- 438 MB
- SHA256:
- f583d1e461494b0f57b3238de70e13276923b76eb821cfcf8759dbd6db61114c
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