Instructions to use prajwalJumde/rap_phase2_MODEL2_14march_10i_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prajwalJumde/rap_phase2_MODEL2_14march_10i_v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="prajwalJumde/rap_phase2_MODEL2_14march_10i_v2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("prajwalJumde/rap_phase2_MODEL2_14march_10i_v2") model = AutoModelForQuestionAnswering.from_pretrained("prajwalJumde/rap_phase2_MODEL2_14march_10i_v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 20c84e93d7572bd7ef26400d17026dccfbd9b41e53c6758e7a7d274bb9cbb859
- Size of remote file:
- 17.1 MB
- SHA256:
- 6ab204fa1b07a4334c9163b537ee092eca070bd56f4334976a8fd29119a68c23
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