Question Answering
Transformers
PyTorch
Safetensors
bloom
Generated from Trainer
text-generation-inference
Instructions to use jasoneden/bloom560m-squad-helloworld with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jasoneden/bloom560m-squad-helloworld with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="jasoneden/bloom560m-squad-helloworld")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("jasoneden/bloom560m-squad-helloworld") model = AutoModelForQuestionAnswering.from_pretrained("jasoneden/bloom560m-squad-helloworld") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 00fb681c42b059f5d4ab527e69d8884dc8b88258018985117d90c1f3debdfb5d
- Size of remote file:
- 2.24 GB
- SHA256:
- 1a45e93af661cb90731970e35d3c05c19fb6d2e24e4ce88318c7362bed149987
路
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