Instructions to use Kaludi/eurekaQA-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kaludi/eurekaQA-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Kaludi/eurekaQA-model")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Kaludi/eurekaQA-model") model = AutoModelForQuestionAnswering.from_pretrained("Kaludi/eurekaQA-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:8bccd5ea8820bc6a765343443de1224aeb698c2debe60e1a050adb32a73edd90
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size 260782152
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