Instructions to use raphaelsty/carbonblog with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use raphaelsty/carbonblog with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="raphaelsty/carbonblog")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("raphaelsty/carbonblog") model = AutoModelForQuestionAnswering.from_pretrained("raphaelsty/carbonblog", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1e3cf460ec32a8c3b080d2af7b01c030db366941738c5c625c484401cef04a45
- Size of remote file:
- 326 MB
- SHA256:
- 8276a30f1c839a4731af7b57b690adb7933fe9addd5ccc07e638c86d0be89928
路
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