Instructions to use connectivity/cola_6ep_ft-13 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use connectivity/cola_6ep_ft-13 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="connectivity/cola_6ep_ft-13")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("connectivity/cola_6ep_ft-13") model = AutoModelForSequenceClassification.from_pretrained("connectivity/cola_6ep_ft-13", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from connectivity/cola_6ep_ft-13: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/connectivity/cola_6ep_ft-13/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://connectivity/cola_6ep_ft-13/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/connectivity/cola_6ep_ft-13/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- 33af00002ecb191b8b5d3edb4865aa0f451338e7afe25c25128c77ff541136e1
- Size of remote file:
- 438 MB
- SHA256:
- 83741b60f7c149b357f56eadfd74124c4d3b1755c7f5301d527019dab9cfb780
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