Instructions to use connectivity/cola_6ep_ft-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use connectivity/cola_6ep_ft-4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="connectivity/cola_6ep_ft-4")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("connectivity/cola_6ep_ft-4") model = AutoModelForSequenceClassification.from_pretrained("connectivity/cola_6ep_ft-4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from connectivity/cola_6ep_ft-4: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/connectivity/cola_6ep_ft-4/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://connectivity/cola_6ep_ft-4/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/connectivity/cola_6ep_ft-4/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- 4102778da9394106f3d8a27c993241f1906aef7575d3f31bb2724f9ec44fe209
- Size of remote file:
- 438 MB
- SHA256:
- e5f7228fb06d3e9ecd835851228278557a55b8fbff029ab213f6d96abb3dd379
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