Instructions to use rmihaylov/bert-base-squad-theseus-bg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rmihaylov/bert-base-squad-theseus-bg 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="rmihaylov/bert-base-squad-theseus-bg")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("rmihaylov/bert-base-squad-theseus-bg") model = AutoModelForQuestionAnswering.from_pretrained("rmihaylov/bert-base-squad-theseus-bg", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from rmihaylov/bert-base-squad-theseus-bg: direct link, hf CLI and curl.
- Browser
- Download file 539 MB
-
https://huggingface.co/rmihaylov/bert-base-squad-theseus-bg/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://rmihaylov/bert-base-squad-theseus-bg/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/rmihaylov/bert-base-squad-theseus-bg/resolve/main/pytorch_model.bin
539 MB
- Xet hash:
- cdf46aea4724e41b91c105b1b4052a96947cbb09ccdce9c26e277eb21b6b506f
- Size of remote file:
- 539 MB
- SHA256:
- 9a18c57ed24833b7197b017470331bf6216c0954116bce04eb000b35f1d35735
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