Instructions to use longbach2811/experiements with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use longbach2811/experiements with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="longbach2811/experiements")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("longbach2811/experiements") model = AutoModelForQuestionAnswering.from_pretrained("longbach2811/experiements") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- Nov15_03-02-10_4868937208d4
- Nov15_03-03-09_4868937208d4
- Nov15_03-10-41_4868937208d4
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- Nov15_03-23-26_4868937208d4
- Nov15_03-26-07_4868937208d4
- Nov15_03-32-43_958a0e55d274
- Nov15_03-47-35_958a0e55d274
- Nov15_04-11-23_958a0e55d274
- Nov15_04-24-27_958a0e55d274
- Nov15_04-52-46_958a0e55d274
- Nov15_04-53-39_958a0e55d274
- Nov15_04-55-23_958a0e55d274