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
File size: 129 Bytes
0ad4a47 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:de75b845342e45f7f2afdc959335db888f1049fee14a36b278d3006ae260bd43
size 3055
|