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")# 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
File size: 128 Bytes
0bf1c4f | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:1871411d0eeaa23419bd7a31654025bdb42ea7ff6f5d5b0de799bda607a629c8
size 135
|