Instructions to use connectivity/cola_6ep_ft-5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use connectivity/cola_6ep_ft-5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="connectivity/cola_6ep_ft-5")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("connectivity/cola_6ep_ft-5") model = AutoModelForSequenceClassification.from_pretrained("connectivity/cola_6ep_ft-5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from connectivity/cola_6ep_ft-5: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/connectivity/cola_6ep_ft-5/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://connectivity/cola_6ep_ft-5/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/connectivity/cola_6ep_ft-5/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- f0c77fea38c12a41de703e637e4606cd96bb14ab098278a2f5f9bd89bea79bac
- Size of remote file:
- 438 MB
- SHA256:
- ea3fdc93fcea8d7e042bbf607658b2174a51f7e33e0b2b957ed6592a14086155
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