Instructions to use JAlexis/modelv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JAlexis/modelv2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="JAlexis/modelv2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("JAlexis/modelv2") model = AutoModelForQuestionAnswering.from_pretrained("JAlexis/modelv2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 82288c1c648bd52dd8cf7082d2e319fb55937eb0f29cf800bfd60fcd451bca8e
- Size of remote file:
- 431 MB
- SHA256:
- 34381b9d2f7256235b63ca7ad90a496883803b289233bb5e31d016b1936282ee
路
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