Instructions to use CATIE-AQ/QAmembert-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CATIE-AQ/QAmembert-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="CATIE-AQ/QAmembert-large")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("CATIE-AQ/QAmembert-large") model = AutoModelForQuestionAnswering.from_pretrained("CATIE-AQ/QAmembert-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (8370829f7af6510668d705e84f53d8d64aac560c)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:5ef7d76b4d74e476b97fad76f3fafa962e86d5f27e765db373bbc41f7770bbbc
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size 1342507992
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