Instructions to use AlexanderHolmes0/FirstTry with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AlexanderHolmes0/FirstTry with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="AlexanderHolmes0/FirstTry")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("AlexanderHolmes0/FirstTry") model = AutoModelForQuestionAnswering.from_pretrained("AlexanderHolmes0/FirstTry") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 04800781d6228830f7d57862f55e247627d78f9b2de181102c35db7678781aa4
- Size of remote file:
- 265 MB
- SHA256:
- b19424e8b1ea4acef88392be58a9f7740489b6bccfaf5bab2d47022ec48ee427
路
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