Instructions to use itsamitkumar/qamodel2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use itsamitkumar/qamodel2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="itsamitkumar/qamodel2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("itsamitkumar/qamodel2") model = AutoModelForQuestionAnswering.from_pretrained("itsamitkumar/qamodel2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 813bcc3022242913d64e38b8ef9e6ca4b5928960676eaa6a6977cc43e83a49ea
- Size of remote file:
- 496 MB
- SHA256:
- dfb339bcfed5afb18ff9b7c5404d3b278fc12d407ebb21ac846c955b87ff0033
路
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