Instructions to use Amirosein/roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Amirosein/roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Amirosein/roberta")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Amirosein/roberta") model = AutoModelForMaskedLM.from_pretrained("Amirosein/roberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 604b99b6bb03a8725b360f4be6f3e8b9c259db5a449a96dd05363a918480c15e
- Size of remote file:
- 399 MB
- SHA256:
- 242ed023cc72200dcffcd8c9025f5cd5947a602bcd9880b85de41ee28b301c24
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