Instructions to use crabz/bertoslav-limited with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use crabz/bertoslav-limited with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="crabz/bertoslav-limited")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("crabz/bertoslav-limited") model = AutoModelForMaskedLM.from_pretrained("crabz/bertoslav-limited", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0f0fb47931032fd75b697097a8575a538627434352c709305352e9d57f7c85f9
- Size of remote file:
- 266 MB
- SHA256:
- a44e2e440fc158b48bde012e8bcd7230782634ac0979545ea8716b089a5e6741
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