Instructions to use connectivity/bert_ft_qqp-37 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use connectivity/bert_ft_qqp-37 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="connectivity/bert_ft_qqp-37")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("connectivity/bert_ft_qqp-37") model = AutoModelForSequenceClassification.from_pretrained("connectivity/bert_ft_qqp-37", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from connectivity/bert_ft_qqp-37: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/connectivity/bert_ft_qqp-37/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://connectivity/bert_ft_qqp-37/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/connectivity/bert_ft_qqp-37/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- 42227d11e56f4cedecbe9c04d3fa232e021fdfdddcc9199afe8c92e7c28b550b
- Size of remote file:
- 438 MB
- SHA256:
- 1d6e878878a61da923652d606a0a9c0d0fa130c5c091abf4bc07269baf80d879
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