Instructions to use connectivity/cola_6ep_ft-32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use connectivity/cola_6ep_ft-32 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="connectivity/cola_6ep_ft-32")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("connectivity/cola_6ep_ft-32") model = AutoModelForSequenceClassification.from_pretrained("connectivity/cola_6ep_ft-32", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from connectivity/cola_6ep_ft-32: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/connectivity/cola_6ep_ft-32/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://connectivity/cola_6ep_ft-32/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/connectivity/cola_6ep_ft-32/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- 7f919a3af0d49d8deff715d2b83b9caa858fa7819e399f9e3a8c646ef33e4581
- Size of remote file:
- 438 MB
- SHA256:
- 0c21f8cece61861b6f2925bab3a051ad781a1256369c7363dbe471600bc4dbed
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