Instructions to use imvladikon/charbert-roberta-wiki with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use imvladikon/charbert-roberta-wiki with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("imvladikon/charbert-roberta-wiki", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from imvladikon/charbert-roberta-wiki: direct link, hf CLI and curl.
- Browser
- Download file 618 MB
-
https://huggingface.co/imvladikon/charbert-roberta-wiki/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://imvladikon/charbert-roberta-wiki/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/imvladikon/charbert-roberta-wiki/resolve/main/pytorch_model.bin
618 MB
- Xet hash:
- 3cba3966c76428542da2f7d8b218d2b79b845e914c6c811ebb4af000c9dd1bbe
- Size of remote file:
- 618 MB
- SHA256:
- 97300e68fee2fc499a3d68f4a4d9a1b0273658c66e515854d7f15977916b5df4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.