Instructions to use fathyshalab/EQA-Reader-V1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fathyshalab/EQA-Reader-V1 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="fathyshalab/EQA-Reader-V1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("fathyshalab/EQA-Reader-V1") model = AutoModelForQuestionAnswering.from_pretrained("fathyshalab/EQA-Reader-V1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from fathyshalab/EQA-Reader-V1: direct link, hf CLI and curl.
- Browser
- Download file 16.3 MB
-
https://huggingface.co/fathyshalab/EQA-Reader-V1/resolve/main/tokenizer.json
- Command line
-
hf download hf://fathyshalab/EQA-Reader-V1/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/fathyshalab/EQA-Reader-V1/resolve/main/tokenizer.json
16.3 MB
- Xet hash:
- 0b9a3aee05efc5d3f1634fefd135b52033ca72ab495162d70773237455428af7
- Size of remote file:
- 16.3 MB
- SHA256:
- fd32c7a987d14bfce973913f281059d86642c540f3e96082c78fe568f42cbbfe
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