Instructions to use am-infoweb/rap_phase2_18dec_10i_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use am-infoweb/rap_phase2_18dec_10i_v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="am-infoweb/rap_phase2_18dec_10i_v1")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("am-infoweb/rap_phase2_18dec_10i_v1") model = AutoModelForQuestionAnswering.from_pretrained("am-infoweb/rap_phase2_18dec_10i_v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aad2acd7794cc18a357dc0c97395b1dfbe53736d3f4fc4c51d46f45394e565b3
- Size of remote file:
- 1.11 GB
- SHA256:
- ddf3230d9a34ee703bafb38c1e619b0374f41ed5aa46c02c92d5b32bc259323f
路
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