Instructions to use nlpunibo/bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nlpunibo/bert 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="nlpunibo/bert")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("nlpunibo/bert") model = AutoModelForQuestionAnswering.from_pretrained("nlpunibo/bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from nlpunibo/bert: direct link, hf CLI and curl.
- Browser
- Download file 436 MB
-
https://huggingface.co/nlpunibo/bert/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://nlpunibo/bert/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/nlpunibo/bert/resolve/main/pytorch_model.bin
436 MB
- Xet hash:
- 1ab06217ffc18848d52c68f51502ff3c6b206911a46ed4145a71cfc4a220a2e9
- Size of remote file:
- 436 MB
- SHA256:
- 372c6534ec9191659a0fdfbd8d6cf328d34c0f56860392bd298d2249b3d0e95f
路
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