Instructions to use Geotrend/bert-base-tr-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Geotrend/bert-base-tr-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Geotrend/bert-base-tr-cased")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Geotrend/bert-base-tr-cased") model = AutoModelForMaskedLM.from_pretrained("Geotrend/bert-base-tr-cased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from Geotrend/bert-base-tr-cased: direct link, hf CLI and curl.
- Browser
- Download file 403 MB
-
https://huggingface.co/Geotrend/bert-base-tr-cased/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://Geotrend/bert-base-tr-cased/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/Geotrend/bert-base-tr-cased/resolve/main/flax_model.msgpack
403 MB
- Xet hash:
- b008e0575daf8fa5409d5ce41f5d5b708143a5e736104c51a54730074385322b
- Size of remote file:
- 403 MB
- SHA256:
- fb41518fc8c0831a4d74ea295e438353b9d791e50a88b47a2b3b6a8355a00b1f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.