Instructions to use zelcakok/bert-base-squad2-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zelcakok/bert-base-squad2-uncased 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="zelcakok/bert-base-squad2-uncased")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("zelcakok/bert-base-squad2-uncased") model = AutoModelForQuestionAnswering.from_pretrained("zelcakok/bert-base-squad2-uncased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from zelcakok/bert-base-squad2-uncased: direct link, hf CLI and curl.
- Browser
- Download file 436 MB
-
https://huggingface.co/zelcakok/bert-base-squad2-uncased/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://zelcakok/bert-base-squad2-uncased/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/zelcakok/bert-base-squad2-uncased/resolve/main/pytorch_model.bin
436 MB
- Xet hash:
- d2cb597dba98a8e38c7bfee404600393a5f25260feacc5bf02c8feae2c588376
- Size of remote file:
- 436 MB
- SHA256:
- ee6632aa54059454f28bb3a5281211ee051704ffb81e0c5b83cfb053c537f439
路
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