Instructions to use SpeedaRJ/roberta-base-nlb-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SpeedaRJ/roberta-base-nlb-finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="SpeedaRJ/roberta-base-nlb-finetuned")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("SpeedaRJ/roberta-base-nlb-finetuned") model = AutoModelForQuestionAnswering.from_pretrained("SpeedaRJ/roberta-base-nlb-finetuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d65646e1e90ec30f5eedead146ca75b6d46d26a530cd9dad53673140e130a1ce
- Size of remote file:
- 496 MB
- SHA256:
- be6bd517d5d1e2c2f0b375a25030978ee848a45c794dd650d64b3fba14ee024d
路
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