Instructions to use connectivity/bert_ft_qqp-81 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use connectivity/bert_ft_qqp-81 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="connectivity/bert_ft_qqp-81")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("connectivity/bert_ft_qqp-81") model = AutoModelForSequenceClassification.from_pretrained("connectivity/bert_ft_qqp-81", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from connectivity/bert_ft_qqp-81: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/connectivity/bert_ft_qqp-81/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://connectivity/bert_ft_qqp-81/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/connectivity/bert_ft_qqp-81/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- 0b218997c3f16668c8368512a1ce24bb0f69a2c6d741c820bb091d648366f5d3
- Size of remote file:
- 438 MB
- SHA256:
- 10d09f0ccd0ed565aa0a5755ac260e2df23ebbe15a31f66c9425b10d1ce7a12e
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