Instructions to use connectivity/cola_6ep_ft-9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use connectivity/cola_6ep_ft-9 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="connectivity/cola_6ep_ft-9")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("connectivity/cola_6ep_ft-9") model = AutoModelForSequenceClassification.from_pretrained("connectivity/cola_6ep_ft-9", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from connectivity/cola_6ep_ft-9: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/connectivity/cola_6ep_ft-9/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://connectivity/cola_6ep_ft-9/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/connectivity/cola_6ep_ft-9/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- 766723f66ff5f60cac86684134c490b0ad90fc527f5b2fe47dc553e49f12989c
- Size of remote file:
- 438 MB
- SHA256:
- 19d5e688e1e156d770f5f95c2303f23be3f87205c31f2e44438980237224e906
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