Instructions to use connectivity/cola_6ep_ft-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use connectivity/cola_6ep_ft-3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="connectivity/cola_6ep_ft-3")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("connectivity/cola_6ep_ft-3") model = AutoModelForSequenceClassification.from_pretrained("connectivity/cola_6ep_ft-3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from connectivity/cola_6ep_ft-3: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/connectivity/cola_6ep_ft-3/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://connectivity/cola_6ep_ft-3/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/connectivity/cola_6ep_ft-3/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- 96fad01130f373dbbf3021bc13eefdac2820ed367c444eecc12a02c252c13425
- Size of remote file:
- 438 MB
- SHA256:
- 06e2742c3c48ccbdf2f9748e208dcfec1b47d8e36ea84814008190960caa61c2
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