Instructions to use am-infoweb/rap_phase2_11jan_15i_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use am-infoweb/rap_phase2_11jan_15i_v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="am-infoweb/rap_phase2_11jan_15i_v2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("am-infoweb/rap_phase2_11jan_15i_v2") model = AutoModelForQuestionAnswering.from_pretrained("am-infoweb/rap_phase2_11jan_15i_v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ad970f700cce6ead35c3fcb1a3453f2a5a91efab85604c5c089b5d30af6b9132
- Size of remote file:
- 4.03 kB
- SHA256:
- a9de8a7f9a9645d34bd836333b65d8c4e547557f91216b2da3d4a1eedba8b450
路
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