Instructions to use connectivity/cola_6ep_ft-8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use connectivity/cola_6ep_ft-8 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="connectivity/cola_6ep_ft-8")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("connectivity/cola_6ep_ft-8") model = AutoModelForSequenceClassification.from_pretrained("connectivity/cola_6ep_ft-8", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from connectivity/cola_6ep_ft-8: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/connectivity/cola_6ep_ft-8/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://connectivity/cola_6ep_ft-8/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/connectivity/cola_6ep_ft-8/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- df8faac3a38d4f89cce3ebaf7366b284c7cd579fc4ba29f90a1868950a2ab04b
- Size of remote file:
- 438 MB
- SHA256:
- 2437dda3bd1b3e3eac7822d8a025786b2f509d0993ea2c2ad3f0ba280b5ebf8e
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