Instructions to use ytu-ce-cosmos/turkish-tiny-bert-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ytu-ce-cosmos/turkish-tiny-bert-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ytu-ce-cosmos/turkish-tiny-bert-uncased")# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("ytu-ce-cosmos/turkish-tiny-bert-uncased") model = AutoModelForPreTraining.from_pretrained("ytu-ce-cosmos/turkish-tiny-bert-uncased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ytu-ce-cosmos/turkish-tiny-bert-uncased: direct link, hf CLI and curl.
- Browser
- Download file 18.5 MB
-
https://huggingface.co/ytu-ce-cosmos/turkish-tiny-bert-uncased/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ytu-ce-cosmos/turkish-tiny-bert-uncased/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ytu-ce-cosmos/turkish-tiny-bert-uncased/resolve/main/pytorch_model.bin
18.5 MB
- Xet hash:
- 523f4eec56dee45e03765eb434231043eb873d3c244aa9d3c1df8102c2539ea1
- Size of remote file:
- 18.5 MB
- SHA256:
- 2b255509caba25c02a59da7513b12e285a58331236c5ba983ff3bf3b1318bc8b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.