Instructions to use connectivity/cola_6ep_ft-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use connectivity/cola_6ep_ft-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="connectivity/cola_6ep_ft-2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("connectivity/cola_6ep_ft-2") model = AutoModelForSequenceClassification.from_pretrained("connectivity/cola_6ep_ft-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from connectivity/cola_6ep_ft-2: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/connectivity/cola_6ep_ft-2/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://connectivity/cola_6ep_ft-2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/connectivity/cola_6ep_ft-2/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- fa0c5c8b8504ba7c1c16e6c4f140560d56a7eb44ac75543e95fb79925c3b5df9
- Size of remote file:
- 438 MB
- SHA256:
- 6a0c8c72df16806da0f764241b8b61a0a525b07ee2a7fda60c7feba1d0b8c3de
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