Instructions to use ron-the-code/NON_DISTILBERT_Tutorial with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ron-the-code/NON_DISTILBERT_Tutorial with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="ron-the-code/NON_DISTILBERT_Tutorial")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ron-the-code/NON_DISTILBERT_Tutorial") model = AutoModelForQuestionAnswering.from_pretrained("ron-the-code/NON_DISTILBERT_Tutorial") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e34b7ea137769aef2d9f95948d1b12d9aa24d5d66f35b7c8358ab7d2b98d5c0f
- Size of remote file:
- 436 MB
- SHA256:
- 5777a53b3b930f288542af2c911cdc20128871f6359589f1c4b8326b982a20c4
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