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
- Size of remote file:
- 3.06 kB
- SHA256:
- de75b845342e45f7f2afdc959335db888f1049fee14a36b278d3006ae260bd43
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