Instructions to use mathildeparlo/base_seq_lab_arabic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mathildeparlo/base_seq_lab_arabic with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="mathildeparlo/base_seq_lab_arabic")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("mathildeparlo/base_seq_lab_arabic") model = AutoModelForQuestionAnswering.from_pretrained("mathildeparlo/base_seq_lab_arabic", 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:c532507de83e383847fca1965a6c2ef4e38949b4472d9f47f10f6137003ea448
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size 265470032
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