Instructions to use StaAhmed/Qa_01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use StaAhmed/Qa_01 with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="StaAhmed/Qa_01")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("StaAhmed/Qa_01") model = AutoModelForQuestionAnswering.from_pretrained("StaAhmed/Qa_01", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload tokenizer
Browse files- tokenizer.json +16 -2
tokenizer.json
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"truncation": {
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"direction": "Right",
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"max_length": 384,
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"strategy": "OnlySecond",
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"stride": 0
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"padding": {
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"strategy": {
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"direction": "Right",
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"pad_to_multiple_of": null,
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"pad_token": "[PAD]"
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"added_tokens": [
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"id": 0,
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