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
Download tokenizer.json from StaAhmed/Qa_01: direct link, hf CLI and curl.
- Browser
- Download file 2.11 MB
-
https://huggingface.co/StaAhmed/Qa_01/resolve/main/tokenizer.json
- Command line
-
hf download hf://StaAhmed/Qa_01/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/StaAhmed/Qa_01/resolve/main/tokenizer.json
2.11 MB
- Xet hash:
- 716fe6e716713d39927015eddc9256cf714c66c7af885ce96efc33b9141ec50e
- Size of remote file:
- 2.11 MB
- SHA256:
- e4d5ccf914be7c650f4de2ab8bf0a6064d6d8a31fcf49f58ab76e71be5d98f4e
路
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