Instructions to use Antonio49/Personal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Antonio49/Personal with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Antonio49/Personal")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Antonio49/Personal") model = AutoModelForQuestionAnswering.from_pretrained("Antonio49/Personal", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- feb3ec0f7ebc9a302f6826ca30e99fefeb2ccc22b0394a0925be2e0f1b73b9fb
- Size of remote file:
- 4.92 kB
- SHA256:
- 1e1e1be95dbc84b90479cca7576bb0245b4cfe9ed775de0c961dbb2b6abf14ad
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