Instructions to use asheads/PredreamBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use asheads/PredreamBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="asheads/PredreamBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("asheads/PredreamBERT") model = AutoModelForMaskedLM.from_pretrained("asheads/PredreamBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7a73e77574fba7db055d89b8e441934d2b6c5beb19f920479e00e9d97ec23822
- Size of remote file:
- 268 MB
- SHA256:
- a0bc703e31cebc161c189dc8d55f8356467ea04f7dd6842c1630f5124e61e00a
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