Instructions to use DataScientist1122/roberta-finetuned-medquad_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DataScientist1122/roberta-finetuned-medquad_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="DataScientist1122/roberta-finetuned-medquad_2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("DataScientist1122/roberta-finetuned-medquad_2") model = AutoModelForQuestionAnswering.from_pretrained("DataScientist1122/roberta-finetuned-medquad_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 220d7d923559dac7cc0a707021923087e2530e5e4c81f56bc80c5cc6c39fa78d
- Size of remote file:
- 4.98 kB
- SHA256:
- 6f00aa3a1b382604092a23f0cccc87ce9edf0e90f697a4f2e9199ee4bf78d2b5
路
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