Instructions to use connectivity/cola_6ep_ft-46 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use connectivity/cola_6ep_ft-46 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="connectivity/cola_6ep_ft-46")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("connectivity/cola_6ep_ft-46") model = AutoModelForSequenceClassification.from_pretrained("connectivity/cola_6ep_ft-46", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from connectivity/cola_6ep_ft-46: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/connectivity/cola_6ep_ft-46/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://connectivity/cola_6ep_ft-46/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/connectivity/cola_6ep_ft-46/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- bae5d6e4885ec4e9ebaa56794cd7d05a4bda48a8b502abcb06e5381db539df21
- Size of remote file:
- 438 MB
- SHA256:
- 1d437678789185d3b7e128e83df7f0de10f83efb5285687179421efd39d6e1ab
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