Question Answering
Transformers
PyTorch
Safetensors
Italian
text-generation-inference
q&a
italian
mamba
question answering
Instructions to use DeepMount00/Mamba-QA-ITA-790m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DeepMount00/Mamba-QA-ITA-790m with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="DeepMount00/Mamba-QA-ITA-790m")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("DeepMount00/Mamba-QA-ITA-790m", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4669fd7ca9c3f4b6f7559b536d0b21459162cd8a6812d540dd6ba0c2e7497792
- Size of remote file:
- 1.59 GB
- SHA256:
- efeca1b0f8150eeb22f8caf04643ee79e34e9fa9c4c4d9d89431ca134f6e738e
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