Instructions to use Laaleh/model_qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Laaleh/model_qa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Laaleh/model_qa")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Laaleh/model_qa") model = AutoModelForQuestionAnswering.from_pretrained("Laaleh/model_qa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bdf3839c6e876d85a87cc93888eab6dbc01414252cf9592a19b42b2c75586657
- Size of remote file:
- 4.03 kB
- SHA256:
- 2ea3d67bc9afdcac52a0596df3ffaf03093afa1eb4829fc5ee4c541ea9c311a3
路
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