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
- Xet hash:
- ebbeb30b49572f544f9c913298fbdbc8175f21a02b2bd29e6623e43d022daf3b
- Size of remote file:
- 3.9 kB
- SHA256:
- 301405db70d782220dc512df0826c49fadc629469d60b92a9699a279a6386ebe
路
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