Instructions to use connectivity/bert_ft_qqp-40 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use connectivity/bert_ft_qqp-40 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="connectivity/bert_ft_qqp-40")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("connectivity/bert_ft_qqp-40") model = AutoModelForSequenceClassification.from_pretrained("connectivity/bert_ft_qqp-40", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from connectivity/bert_ft_qqp-40: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/connectivity/bert_ft_qqp-40/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://connectivity/bert_ft_qqp-40/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/connectivity/bert_ft_qqp-40/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- effe33cea1c5ea611ed38cf543fad9b9873d99530af0bab4166cddeed1011a59
- Size of remote file:
- 438 MB
- SHA256:
- 6d97d7d08617ae0a237eb0709e0a6b84878d836aa33c67ab36e128762c6993e8
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