Question Answering
Transformers
PyTorch
Safetensors
English
roberta
chemistry
contamination
waterborne
question answering
Instructions to use Galahad3x/QAModelForPatho with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Galahad3x/QAModelForPatho 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="Galahad3x/QAModelForPatho")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Galahad3x/QAModelForPatho") model = AutoModelForQuestionAnswering.from_pretrained("Galahad3x/QAModelForPatho", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Galahad3x/QAModelForPatho: direct link, hf CLI and curl.
- Browser
- Download file 496 MB
-
https://huggingface.co/Galahad3x/QAModelForPatho/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Galahad3x/QAModelForPatho/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Galahad3x/QAModelForPatho/resolve/main/pytorch_model.bin
496 MB
- Xet hash:
- ebcc1a8edd9099c212a7d31116039d9da77d472ff4492a0c41efcea564c938d9
- Size of remote file:
- 496 MB
- SHA256:
- fa2d6d1803ba79b179913c9d55afe7aa692bda4822569dd1efca77deb60a3808
路
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