Instructions to use Rustem/distilroberta-base-trainedmodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rustem/distilroberta-base-trainedmodel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Rustem/distilroberta-base-trainedmodel")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Rustem/distilroberta-base-trainedmodel") model = AutoModelForMaskedLM.from_pretrained("Rustem/distilroberta-base-trainedmodel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
695aee5 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:426c931b59ed25bbf0bddfd5d562d08a582738f1c30efb6945daf59163dbae37
size 328727723
|