Instructions to use Geotrend/bert-base-en-el-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Geotrend/bert-base-en-el-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Geotrend/bert-base-en-el-cased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Geotrend/bert-base-en-el-cased") model = AutoModelForMaskedLM.from_pretrained("Geotrend/bert-base-en-el-cased") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 97e852978d63d53b06061abf0032f7e27ad31ab81dfa50cf56299a1ee687a6fa
- Size of remote file:
- 438 MB
- SHA256:
- 3cd24ee25c8ffc5c936eaaf27732fbc876a5e6816f227a12beccadecfbf081c6
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.