Instructions to use connectivity/cola_6ep_ft-23 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use connectivity/cola_6ep_ft-23 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="connectivity/cola_6ep_ft-23")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("connectivity/cola_6ep_ft-23") model = AutoModelForSequenceClassification.from_pretrained("connectivity/cola_6ep_ft-23", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from connectivity/cola_6ep_ft-23: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/connectivity/cola_6ep_ft-23/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://connectivity/cola_6ep_ft-23/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/connectivity/cola_6ep_ft-23/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- 3fd93e7cecc6c9d4adcdd9d8ad701a203fc20739c4d86cfd9348dcc894768fb8
- Size of remote file:
- 438 MB
- SHA256:
- 5afa7ccd8ca636b5eabc2a820bfdb9a4c7d86f23de528a88380dd252d3ed5324
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