Instructions to use damapika/roberta-base_mod with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use damapika/roberta-base_mod with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="damapika/roberta-base_mod")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("damapika/roberta-base_mod") model = AutoModelForQuestionAnswering.from_pretrained("damapika/roberta-base_mod", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ff8398d7d34a3ccd3762c4619983e38fbcde13ed3d7e6e815f4deea2ef17cb45
- Size of remote file:
- 496 MB
- SHA256:
- e8f43aa6e2331333f163bdf2edbe71f7146bfb3d507f7b200dd4a795e8aeea60
路
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