Instructions to use ashraq/bert-random-weights with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ashraq/bert-random-weights with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ashraq/bert-random-weights")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ashraq/bert-random-weights") model = AutoModelForMaskedLM.from_pretrained("ashraq/bert-random-weights", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ede5ad1484589f76c844c6922ca3978b8f80dbca73b46a15aa2d0784869c6898
- Size of remote file:
- 1.89 GB
- SHA256:
- dccdb986ea5bccbbc0020b461e51909e307373db3a44d9ad1575667999fa84d7
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