Instructions to use Rustem/roberta-large-copy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rustem/roberta-large-copy with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Rustem/roberta-large-copy")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Rustem/roberta-large-copy") model = AutoModelForMaskedLM.from_pretrained("Rustem/roberta-large-copy", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Rustem/roberta-large-copy: direct link, hf CLI and curl.
- Browser
- Download file 135 Bytes
-
https://huggingface.co/Rustem/roberta-large-copy/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Rustem/roberta-large-copy/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Rustem/roberta-large-copy/resolve/main/pytorch_model.bin
135 Bytes
- Xet hash:
- 080793a70fe5c6145cab0ab87ba40142986cad0eb44f28ccf14d9be7ad36e773
- Size of remote file:
- 135 Bytes
- SHA256:
- 262c357b2dff59c2119e5e2ed3546b53212e8653e31a9809acec3007ac416372
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