Instructions to use am-infoweb/rap_phase2_20dec_15i_v1.csv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use am-infoweb/rap_phase2_20dec_15i_v1.csv with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="am-infoweb/rap_phase2_20dec_15i_v1.csv")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("am-infoweb/rap_phase2_20dec_15i_v1.csv") model = AutoModelForQuestionAnswering.from_pretrained("am-infoweb/rap_phase2_20dec_15i_v1.csv") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 20c84e93d7572bd7ef26400d17026dccfbd9b41e53c6758e7a7d274bb9cbb859
- Size of remote file:
- 17.1 MB
- SHA256:
- 6ab204fa1b07a4334c9163b537ee092eca070bd56f4334976a8fd29119a68c23
路
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