Instructions to use epfl-ml4ed/LernnaviBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use epfl-ml4ed/LernnaviBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="epfl-ml4ed/LernnaviBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("epfl-ml4ed/LernnaviBERT") model = AutoModelForMaskedLM.from_pretrained("epfl-ml4ed/LernnaviBERT") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
bc95357 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:85d83c671b2bbacbfe3db48bccb8124e9e13183786aff9f1a7868243d6d90e40
size 4728
|