Instructions to use mihaien/roberta-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mihaien/roberta-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="mihaien/roberta-model")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("mihaien/roberta-model") model = AutoModelForQuestionAnswering.from_pretrained("mihaien/roberta-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
df31164 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:301405db70d782220dc512df0826c49fadc629469d60b92a9699a279a6386ebe
size 3899
|