Instructions to use connectivity/cola_6ep_ft-21 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use connectivity/cola_6ep_ft-21 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="connectivity/cola_6ep_ft-21")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("connectivity/cola_6ep_ft-21") model = AutoModelForSequenceClassification.from_pretrained("connectivity/cola_6ep_ft-21", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from connectivity/cola_6ep_ft-21: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/connectivity/cola_6ep_ft-21/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://connectivity/cola_6ep_ft-21/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/connectivity/cola_6ep_ft-21/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- e334d2d4a0a1a5544d1e332ab27a194174c5ab8eb5f46d6d24892b1f6898366a
- Size of remote file:
- 438 MB
- SHA256:
- 0cf7a5c7bfe35140eeac52f9bacde406534cac0be020c93589a3c30d34754964
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