Instructions to use connectivity/bert_ft_qqp-42 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use connectivity/bert_ft_qqp-42 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="connectivity/bert_ft_qqp-42")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("connectivity/bert_ft_qqp-42") model = AutoModelForSequenceClassification.from_pretrained("connectivity/bert_ft_qqp-42", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from connectivity/bert_ft_qqp-42: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/connectivity/bert_ft_qqp-42/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://connectivity/bert_ft_qqp-42/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/connectivity/bert_ft_qqp-42/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- ae1e3bda973e8f060eaf7ee4ab847ab67499b70e2124278a869744c0ae8215f1
- Size of remote file:
- 438 MB
- SHA256:
- e68b9c5d0ad78f93f39247d611dd9a269a13dd3b8e341744802cde8693429a5a
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