Instructions to use Raylei231/QA_for_SO_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Raylei231/QA_for_SO_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Raylei231/QA_for_SO_model")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Raylei231/QA_for_SO_model") model = AutoModelForQuestionAnswering.from_pretrained("Raylei231/QA_for_SO_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 54d464fee883ace637ab3d72147531dc330ec3719b5b417ed6a56b999f4c3205
- Size of remote file:
- 3.9 kB
- SHA256:
- 2794431fe1efacaad823fb8bf2b2fc99a96323ede500f735a1b1d9ec9981b1c0
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