Instructions to use dsfsi/PuoBERTa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dsfsi/PuoBERTa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="dsfsi/PuoBERTa")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("dsfsi/PuoBERTa") model = AutoModelForMaskedLM.from_pretrained("dsfsi/PuoBERTa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3bc38dddc6d35bf7b17762991a8795d79a0a97886c9a0991c247e982af26fd9c
- Size of remote file:
- 334 MB
- SHA256:
- 0d24f06ee0392c199e4f6ec4c6651df09d5738e1b8af6831b994808685003f62
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