Instructions to use anablasi/model_10k_qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anablasi/model_10k_qa 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="anablasi/model_10k_qa")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("anablasi/model_10k_qa") model = AutoModelForQuestionAnswering.from_pretrained("anablasi/model_10k_qa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from anablasi/model_10k_qa: direct link, hf CLI and curl.
- Browser
- Download file 496 MB
-
https://huggingface.co/anablasi/model_10k_qa/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://anablasi/model_10k_qa/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/anablasi/model_10k_qa/resolve/main/pytorch_model.bin
496 MB
- Xet hash:
- a99daf69b1d508a9b9fbedc88462c9b8b0d4d118802c1a2d480cdbabf712fecf
- Size of remote file:
- 496 MB
- SHA256:
- 75230a2ec473bda407fb0a1420dc9fd2f9cb5cec16c1750459c804cd55c1208a
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